README.md

ECCV2022-Papers-with-Code-Demo

收集 ECCV 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

欢迎关注公众号：AI算法与图像处理

☪️福利 注册即可领取 200 块计算资源 : https://www.bkunyun.com/wap/console?source=aistudy 使用说明

🌟 ECCV 2022 持续更新最新论文/paper和相应的开源代码/code！

🚗 ECCV 2022 收录列表ID：https://ailb-web.ing.unimore.it/releases/eccv2022/accepted_papers.txt

🚗 官网链接：https://eccv2022.ecva.net

B站demo：https://space.bilibili.com/288489574

✋ ​注：欢迎各位大佬提交issue，分享ECCV 2022论文/paper和开源项目！共同完善这个项目

往年顶会论文汇总：

CVPR2022

CVPR2021

ICCV2021

🎆 欢迎进群 | Welcome

ECCV 2022 论文/paper交流群已成立！已经收录的同学，可以添加微信：nvshenj125，请备注：ECCV+姓名+学校/公司名称！一定要根据格式申请，可以拉你进群。

🔨 目录 |Table of Contents（点击直接跳转）

目录（右侧点击可折叠）

• 数据集/Dataset
• Image Classification
• GAN
• NeRF
• Visual Transformer
• 多模态/Multimodal
• Vision-Language
• 对比学习/Contrastive Learning
• Domain Adaptation
• 目标检测/Object Detection
• 目标跟踪/Object Tracking
• 语义分割/Segmentation
• Video Segmentation
• 医学图像分割/Medical Image Segmentation
• Knowledge Distillation
• Action Detection
• Action Recognition
• Anomaly Detection
• 人脸识别/Face Recognition
• 人脸检测/Face Detection
• 人脸活体检测/Face Anti-Spoofing
• 人脸年龄估计/Age Estimation
• 人脸表情识别/Facial Expression Recognition
• 人脸属性识别/Facial Attribute Recognition
• 人脸编辑/Facial Editing
• 人脸相关 / Face
• 人体姿态估计/Human Pose Estimation
• 3D reconstruction
• Human Reconstruction
• Relighting
• DeepFake
• OCR
• Text Recognition
• 点云/Point Cloud
• 光流估计/Flow Estimation
• 深度估计/Depth Estimation
• 车道线检测/Lane Detection
• 轨迹预测/Trajectory Prediction
• 超分/Super-Resolution
• 图像去噪/Image Denoising
• 图像去模糊/Image Deblurring
• 图像复原/Image Restoration
• 图像增强/Image Enhancement
• 图像修复/Image Inpainting
• 视频插帧/Video Interpolation
• Temporal Action Segmentation
• 检索/Image Retrieval
• Diffusion
• 其他/Other

数据集/Dataset

COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts

• 论文/Paper: http://arxiv.org/pdf/2207.04675
• 代码/Code: https://github.com/ku21fan/COO-Comic-Onomatopoeia

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset

• 论文/Paper: http://arxiv.org/pdf/2207.10664
• 代码/Code: https://github.com/visipedia/ssw60

BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis

• 论文/Paper: http://arxiv.org/pdf/2207.10120
• 代码/Code: https://github.com/dmoltisanti/brace

CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

• 论文/Paper: http://arxiv.org/pdf/2207.12393
• 代码/Code: https://github.com/CelebV-HQ/CelebV-HQ

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions

• 论文/Paper: http://arxiv.org/pdf/2208.01166
• 代码/Code: None

Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications

• 论文/Paper: http://arxiv.org/pdf/2208.03826
• 代码/Code: https://github.com/owenzlz/EgoHOS

TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments

• 论文/Paper: http://arxiv.org/pdf/2208.07943
• 代码/Code: https://github.com/shubham1810/trove_toolkit

返回目录/back

Image Classification

Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation

• 论文/Paper: http://arxiv.org/pdf/2207.06989
• 代码/Code: https://github.com/remiMZ/HTS-ECCV22

Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization

• 论文/Paper: http://arxiv.org/pdf/2207.07818
• 代码/Code: https://github.com/zh460045050/BagCAMs

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

• 论文/Paper: http://arxiv.org/pdf/2207.09519
• 代码/Code: https://github.com/gaopengcuhk/tip-adapter

Invariant Feature Learning for Generalized Long-Tailed Classification

• 论文/Paper: http://arxiv.org/pdf/2207.09504
• 代码/Code: https://github.com/kaihuatang/generalized-long-tailed-benchmarks.pytorch

RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos

• 论文/Paper: http://arxiv.org/pdf/2207.11075
• 代码/Code: https://github.com/megvii-research/RealFlow

PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification

• 论文/Paper: http://arxiv.org/pdf/2208.09999
• 代码/Code: None

返回目录/back

GAN

Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization

• 论文/Paper: https://arxiv.org/pdf/2208.10730v1.pdf
• 代码/Code: https://github.com/Kaminyou/URUST

Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling

• 论文/Paper: http://arxiv.org/abs/2207.02196
• 代码/Code: https://github.com/fudan-zvg/pds

CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer

• 论文/Paper: http://arxiv.org/pdf/2207.04808
• 代码/Code: https://github.com/JarrentWu1031/CCPL

Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis

• 论文/Paper: http://arxiv.org/pdf/2207.05049
• 代码/Code: https://github.com/fast-vid2vid/fast-vid2vid

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

• 论文/Paper: http://arxiv.org/abs/2207.02063
• 代码/Code: https://github.com/tubui/image_attribution

VecGAN: Image-to-Image Translation with Interpretable Latent Directions

• 论文/Paper: http://arxiv.org/pdf/2207.03411
• 代码/Code: None

Context-Consistent Semantic Image Editing with Style-Preserved Modulation

• 论文/Paper: http://arxiv.org/pdf/2207.06252
• 代码/Code: https://github.com/wuyangluo/spmpgan

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

• 论文/Paper: http://arxiv.org/pdf/2207.06124
• 代码/Code: https://github.com/huage001/dynast

Supervised Attribute Information Removal and Reconstruction for Image Manipulation

• 论文/Paper: http://arxiv.org/pdf/2207.06555
• 代码/Code: https://github.com/nannanli999/airr

Name: Adaptive Feature Interpolation for Low-Shot Image Generation

• 论文/Paper: https://arxiv.org/abs/2112.02450
• 代码/Code: https://github.com/dzld00/Adaptive-Feature-Interpolation-for-Low-Shot-Image-Generation

WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation

• 论文/Paper: http://arxiv.org/pdf/2207.07288
• 代码/Code: Link:https://github.com/kobeshegu/ECCV2022_WaveGAN

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs

• 论文/Paper: http://arxiv.org/pdf/2207.08630
• 代码/Code: https://github.com/iceli1007/FakeCLR

Outpainting by Queries

• 论文/Paper: https://arxiv.org/abs/2207.05312
• 代码/Code: https://github.com/Kaiseem/QueryOTR

Single Stage Virtual Try-on via Deformable Attention Flows

• 论文/Paper: http://arxiv.org/pdf/2207.09161
• 代码/Code: https://github.com/OFA-Sys/DAFlow

Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation

• 论文/Paper: http://arxiv.org/pdf/2207.09019
• 代码/Code: https://github.com/gerwang/facial-detail-manipulation

Monocular 3D Object Reconstruction with GAN Inversion

• 论文/Paper: http://arxiv.org/pdf/2207.10061
• 代码/Code: https://github.com/junzhezhang/mesh-inversion

Generative Multiplane Images: Making a 2D GAN 3D-Aware

• 论文/Paper: http://arxiv.org/pdf/2207.10642
• 代码/Code: https://github.com/apple/ml-gmpi

DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta

• 论文/Paper: http://arxiv.org/pdf/2207.10271
• 代码/Code: https://github.com/bcmi/deltagan-few-shot-image-generation

Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis

• 论文/Paper: http://arxiv.org/pdf/2207.10257
• 代码/Code: https://github.com/jgkwak95/surf-gan

SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.10256
• 代码/Code: None

2D GANs Meet Unsupervised Single-view 3D Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2207.10183
• 代码/Code: None

InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images

• 论文/Paper: http://arxiv.org/pdf/2207.11148
• 代码/Code: None

Auto-regressive Image Synthesis with Integrated Quantization

• 论文/Paper: http://arxiv.org/pdf/2207.10776
• 代码/Code: None

Compositional Human-Scene Interaction Synthesis with Semantic Control

• 论文/Paper: http://arxiv.org/pdf/2207.12824
• 代码/Code: https://github.com/zkf1997/coins

Generator Knows What Discriminator Should Learn in Unconditional GANs

• 论文/Paper: http://arxiv.org/pdf/2207.13320
• 代码/Code: https://github.com/naver-ai/GGDR

StyleLight: HDR Panorama Generation for Lighting Estimation and Editing

• 论文/Paper: http://arxiv.org/pdf/2207.14811
• 代码/Code: https://github.com/Wanggcong/StyleLight

Cross Attention Based Style Distribution for Controllable Person Image Synthesis

• 论文/Paper: http://arxiv.org/pdf/2208.00712
• 代码/Code: https://github.com/xyzhouo/casd

SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks using cGANs

• 论文/Paper: http://arxiv.org/pdf/2208.04226
• 代码/Code: https://github.com/ambekarsameer96/SKDCGN

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs

• 论文/Paper: http://arxiv.org/pdf/2208.03764
• 代码/Code: None

Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment

• 论文/Paper: http://arxiv.org/pdf/2208.07765
• 代码/Code: https://github.com/taeu/style-your-hair

Paint2Pix: Interactive Painting based Progressive Image Synthesis and Editing

• 论文/Paper: http://arxiv.org/pdf/2208.08092
• 代码/Code: https://github.com/1jsingh/paint2pix

Mind the Gap in Distilling StyleGANs

• 论文/Paper: http://arxiv.org/pdf/2208.08840
• 代码/Code: https://github.com/xuguodong03/stylekd

ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization

• 论文/Paper: http://arxiv.org/pdf/2208.09414
• 代码/Code: None

FurryGAN: High Quality Foreground-aware Image Synthesis

• 论文/Paper: http://arxiv.org/pdf/2208.10422
• 代码/Code: None

Improving GANs for Long-Tailed Data through Group Spectral Regularization

• 论文/Paper: http://arxiv.org/pdf/2208.09932
• 代码/Code: None

Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries

• 论文/Paper: http://arxiv.org/pdf/2208.11613
• 代码/Code: None

3D-FM GAN: Towards 3D-Controllable Face Manipulation

• 论文/Paper: http://arxiv.org/pdf/2208.11257
• 代码/Code: None

High-Fidelity Image Inpainting with GAN Inversion

• 论文/Paper: http://arxiv.org/pdf/2208.11850
• 代码/Code: None

Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic Edge-Aware Bokeh

• 论文/Paper: http://arxiv.org/pdf/2208.12343
• 代码/Code: None

Exploring Gradient-based Multi-directional Controls in GANs

• 论文/Paper: http://arxiv.org/pdf/2209.00698
• 代码/Code: None

Studying Bias in GANs through the Lens of Race

• 论文/Paper: http://arxiv.org/pdf/2209.02836
• 代码/Code: None

Improved Masked Image Generation with Token-Critic

• 论文/Paper: http://arxiv.org/pdf/2209.04439
• 代码/Code: None

Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation

• 论文/Paper: http://arxiv.org/pdf/2209.05968
• 代码/Code: None

返回目录/back

NeRF

Streamable Neural Fields

• 论文/Paper: http://arxiv.org/pdf/2207.09663
• 代码/Code: https://github.com/jwcho5576/streamable_nf

Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis

• 论文/Paper: http://arxiv.org/pdf/2207.10257
• 代码/Code: https://github.com/jgkwak95/surf-gan

AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields

• 论文/Paper: http://arxiv.org/pdf/2207.10312
• 代码/Code: https://github.com/thomasneff/AdaNeRF

PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo

• 论文/Paper: http://arxiv.org/pdf/2207.11406
• 代码/Code: None

Neural-Sim: Learning to Generate Training Data with NeRF

• 论文/Paper: http://arxiv.org/pdf/2207.11368
• 代码/Code: https://github.com/gyhandy/neural-sim-nerf

Neural Density-Distance Fields

• 论文/Paper: http://arxiv.org/pdf/2207.14455
• 代码/Code: https://github.com/ueda0319/neddf

HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields

• 论文/Paper: http://arxiv.org/pdf/2208.06787
• 代码/Code: None

返回目录/back

Visual Transformer

k-means Mask Transformer

• 论文/Paper: http://arxiv.org/pdf/2207.04044
• 代码/Code: https://github.com/google-research/deeplab2

Weakly Supervised Grounding for VQA in Vision-Language Transformers

• 论文/Paper: http://arxiv.org/pdf/2207.02334
• 代码/Code: https://github.com/aurooj/wsg-vqa-vltransformers

Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2207.04978
• 代码/Code: https://github.com/YehLi/ImageNetModel

CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.04410
• 代码/Code: https://github.com/Green-Wood/CoMER

Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection

• 论文/Paper: http://arxiv.org/pdf/2207.05293
• 代码/Code: https://github.com/MuchHair/HQM

Hunting Group Clues with Transformers for Social Group Activity Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.05254
• 代码/Code: None

Entry-Flipped Transformer for Inference and Prediction of Participant Behavior

• 论文/Paper: http://arxiv.org/pdf/2207.06235
• 代码/Code: None

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

• 论文/Paper: http://arxiv.org/pdf/2207.06124
• 代码/Code: https://github.com/huage001/dynast

Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning

• 论文/Paper: http://arxiv.org/pdf/2207.06101
• 代码/Code: https://github.com/boeun-kim/gl-transformer

TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers

• 论文/Paper: http://arxiv.org/pdf/2207.08409
• 代码/Code: https://github.com/Sense-X/TokenMix

TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval

• 论文/Paper: http://arxiv.org/pdf/2207.07852
• 代码/Code: None

Action Quality Assessment with Temporal Parsing Transformer

• 论文/Paper: http://arxiv.org/pdf/2207.09270
• 代码/Code: None

GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features

• 论文/Paper: http://arxiv.org/pdf/2207.09666
• 代码/Code: https://github.com/davidnvq/grit

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2207.09644
• 代码/Code: None

AiATrack: Attention in Attention for Transformer Visual Tracking

• 论文/Paper: http://arxiv.org/pdf/2207.09603
• 代码/Code: https://github.com/Little-Podi/AiATrack

Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model

• 论文/Paper: http://arxiv.org/pdf/2207.10040
• 代码/Code: None

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

• 论文/Paper: http://arxiv.org/pdf/2207.10666
• 代码/Code: https://github.com/microsoft/cream

An Efficient Spatio-Temporal Pyramid Transformer for Action Detection

• 论文/Paper: http://arxiv.org/pdf/2207.10448
• 代码/Code: None

Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration

• 论文/Paper: http://arxiv.org/pdf/2207.10447
• 代码/Code: https://github.com/164140757/scm

SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer

• 论文/Paper: http://arxiv.org/pdf/2207.10315
• 代码/Code: https://github.com/hrzhou2/seedformer

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.10866
• 代码/Code: None

IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.12100
• 代码/Code: None

3D Siamese Transformer Network for Single Object Tracking on Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2207.11995
• 代码/Code: None

Reference-based Image Super-Resolution with Deformable Attention Transformer

• 论文/Paper: http://arxiv.org/pdf/2207.11938
• 代码/Code: None

SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding

• 论文/Paper: http://arxiv.org/pdf/2207.13325
• 代码/Code: None

Online Continual Learning with Contrastive Vision Transformer

• 论文/Paper: http://arxiv.org/pdf/2207.13516
• 代码/Code: None

Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers

• 论文/Paper: http://arxiv.org/pdf/2207.13820
• 代码/Code: https://github.com/postech-ami/FastMETRO

Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition

• 论文/Paper: http://arxiv.org/pdf/2208.00438
• 代码/Code: https://github.com/xdxie/WordArt

TransMatting: Enhancing Transparent Objects Matting with Transformers

• 论文/Paper: http://arxiv.org/pdf/2208.03007
• 代码/Code: https://github.com/AceCHQ/TransMatting

Ghost-free High Dynamic Range Imaging with Context-aware Transformer

• 论文/Paper: http://arxiv.org/pdf/2208.05114
• 代码/Code: https://github.com/megvii-research/hdr-transformer

返回目录/back

多模态 / Multimodal

Audio-Visual Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.05042
• 代码/Code: https://github.com/OpenNLPLab/AVSBench

Cross-modal Prototype Driven Network for Radiology Report Generation

• 论文/Paper: http://arxiv.org/pdf/2207.04818
• 代码/Code: None

Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting

• 论文/Paper: http://arxiv.org/pdf/2207.04624
• 代码/Code: https://github.com/d1024choi/HLSTrajForecast

UniNet: Unified Architecture Search with Convolution, Transformer, and MLP

• 论文/Paper: http://arxiv.org/pdf/2207.05420
• 代码/Code: https://github.com/Sense-X/UniNet

Video Graph Transformer for Video Question Answering

• 论文/Paper: http://arxiv.org/pdf/2207.05342
• 代码/Code: https://github.com/sail-sg/VGT

Bootstrapped Masked Autoencoders for Vision BERT Pretraining

• 论文/Paper: http://arxiv.org/pdf/2207.07116
• 代码/Code: https://github.com/lightdxy/bootmae

Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

• 论文/Paper: http://arxiv.org/pdf/2207.09156
• 代码/Code: None

Exploiting Unlabeled Data with Vision and Language Models for Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.08954
• 代码/Code: https://github.com/xiaofeng94/VL-PLM

LocVTP: Video-Text Pre-training for Temporal Localization

• 论文/Paper: http://arxiv.org/pdf/2207.10362
• 代码/Code: https://github.com/mengcaopku/locvtp

Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments

• 论文/Paper: http://arxiv.org/pdf/2207.10785
• 代码/Code: https://github.com/VinAIResearch/fsvc-ata

Cross-Modal 3D Shape Generation and Manipulation

• 论文/Paper: http://arxiv.org/pdf/2207.11795
• 代码/Code: None

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training

• 论文/Paper: http://arxiv.org/pdf/2207.12661
• 代码/Code: https://github.com/hxyou/msclip

Frozen CLIP Models are Efficient Video Learners

• 论文/Paper: http://arxiv.org/pdf/2208.03550
• 代码/Code: https://github.com/OpenGVLab/efficient-video-recognition

Consistency-based Self-supervised Learning for Temporal Anomaly Localization

• 论文/Paper: http://arxiv.org/pdf/2208.05251
• 代码/Code: None

Motion Sensitive Contrastive Learning for Self-supervised Video Representation

• 论文/Paper: http://arxiv.org/pdf/2208.06105
• 代码/Code: None

TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency

• 论文/Paper: http://arxiv.org/pdf/2208.06773
• 代码/Code: None

See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval

• 论文/Paper: http://arxiv.org/pdf/2208.08608
• 代码/Code: https://github.com/TencentYoutuResearch/PersonRetrieval-IVT.

Learning an Efficient Multimodal Depth Completion Model

• 论文/Paper: http://arxiv.org/pdf/2208.10771
• 代码/Code: https://github.com/dwhou/emdc-pytorch

Learning from Unlabeled 3D Environments for Vision-and-Language Navigation

• 论文/Paper: http://arxiv.org/pdf/2208.11781
• 代码/Code: None

CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation

• 论文/Paper: http://arxiv.org/pdf/2208.12448
• 代码/Code: https://github.com/maoyunyao/cmd

StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation

• 论文/Paper: http://arxiv.org/pdf/2209.06192
• 代码/Code: https://github.com/adymaharana/storydalle

MUST-VQA: MUltilingual Scene-text VQA

• 论文/Paper: http://arxiv.org/pdf/2209.06730
• 代码/Code: None

返回目录/back

Vision-Language

Vision-Language Adaptive Mutual Decoder for OOV-STR

• 论文/Paper: http://arxiv.org/pdf/2209.00859
• 代码/Code: None

返回目录/back

Domain Adaptation

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation

• 论文/Paper: https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136900177.pdf
• 代码/Code: https://github.com/val-iisc/StickerDA

返回目录/back

对比学习/Contrastive Learning

Network Binarization via Contrastive Learning

• 论文/Paper: http://arxiv.org/pdf/2207.02970
• 代码/Code: None

Contrastive Deep Supervision

• 论文/Paper: http://arxiv.org/pdf/2207.05306
• 代码/Code: None

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

• 论文/Paper: http://arxiv.org/pdf/2207.06733
• 代码/Code: https://github.com/tencentailabhealthcare/concl

Action-based Contrastive Learning for Trajectory Prediction

• 论文/Paper: http://arxiv.org/pdf/2207.08664
• 代码/Code: None

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs

• 论文/Paper: http://arxiv.org/pdf/2207.08630
• 代码/Code: https://github.com/iceli1007/FakeCLR.

Adversarial Contrastive Learning via Asymmetric InfoNCE

• 论文/Paper: http://arxiv.org/pdf/2207.08374
• 代码/Code: https://github.com/yqy2001/A-InfoNCE

Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches

• 论文/Paper: http://arxiv.org/pdf/2207.08220
• 代码/Code: None

Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness

• 论文/Paper: http://arxiv.org/pdf/2207.10899
• 代码/Code: https://github.com/pantheon5100/DeACL.

Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.10892
• 代码/Code: None

Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings

• 论文/Paper: http://arxiv.org/pdf/2208.10429
• 代码/Code: https://github.com/technioncomputationalmrilab/colorectal_cancer_ai

FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning

• 论文/Paper: http://arxiv.org/pdf/2208.10013
• 代码/Code: https://github.com/siyi-wind/FairDisCo

CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval

• 论文/Paper: http://arxiv.org/pdf/2208.09843
• 代码/Code: None

返回目录/back

目标检测/Object Detection

Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.02541
• 代码/Code: None

Should All Proposals be Treated Equally in Object Detection?

• 论文/Paper: http://arxiv.org/pdf/2207.03520
• 代码/Code: None

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors

• 论文/Paper: http://arxiv.org/pdf/2207.05345
• 代码/Code: https://github.com/LutingWang/HEAD

Adversarially-Aware Robust Object Detector

• 论文/Paper: http://arxiv.org/pdf/2207.06202
• 代码/Code: https://github.com/7eu7d7/robustdet

ObjectBox: From Centers to Boxes for Anchor-Free Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.06985
• 代码/Code: https://github.com/mohsenzand/objectbox

Point-to-Box Network for Accurate Object Detection via Single Point Supervision

• 论文/Paper: http://arxiv.org/pdf/2207.06827
• 代码/Code: None

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.08531
• 代码/Code: https://github.com/SPengLiang/DID-M3D.

SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.07898
• 代码/Code: https://github.com/Hydragon516/SPSN

Rethinking IoU-based Optimization for Single-stage 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.09332
• 代码/Code: https://github.com/hlsheng1/RDIoU

Densely Constrained Depth Estimator for Monocular 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.10047
• 代码/Code: https://github.com/bravegroup/dcd

Robust Object Detection With Inaccurate Bounding Boxes

• 论文/Paper: http://arxiv.org/pdf/2207.09697
• 代码/Code: https://github.com/cxliu0/OA-MIL

Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding Box

• 论文/Paper: http://arxiv.org/pdf/2207.09656
• 代码/Code: None

AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.10316
• 代码/Code: https://github.com/zehuichen123/autoalignv2

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

• 论文/Paper: http://arxiv.org/pdf/2207.11169
• 代码/Code: https://github.com/amazon-research/few-shot-object-detection-benchmark.

DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.10758
• 代码/Code: https://github.com/abhi1kumar/DEVIANT

Active Learning Strategies for Weakly-supervised Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.12112
• 代码/Code: https://github.com/huyvvo/BiB.

W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.12104
• 代码/Code: https://github.com/1170300714/w2n_wsod.

Salient Object Detection for Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2207.11889
• 代码/Code: None

UC-OWOD: Unknown-Classified Open World Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.11455
• 代码/Code: https://github.com/JohnWuzh/UC-OWOD

Monocular 3D Object Detection with Depth from Motion

• 论文/Paper: http://arxiv.org/pdf/2207.12988
• 代码/Code: https://github.com/tai-wang/depth-from-motion

Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection

• 论文/Paper: http://arxiv.org/pdf/2208.03062
• 代码/Code: https://github.com/cuiziteng/ECCV_AERIS

Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph

• 论文/Paper: http://arxiv.org/pdf/2208.03624
• 代码/Code: https://github.com/Nightmare-n/GraphRCNN

Object Discovery via Contrastive Learning for Weakly Supervised Object Detection

• 论文/Paper: http://arxiv.org/pdf/2208.07576
• 代码/Code: https://github.com/jinhseo/od-wscl

RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection

• 论文/Paper: http://arxiv.org/pdf/2208.08738
• 代码/Code: https://github.com/chasel-tsui/mmdet-rfla

Object Detection in Aerial Images with Uncertainty-Aware Graph Network

• 论文/Paper: http://arxiv.org/pdf/2208.10781
• 代码/Code: None

Adversarial Vulnerability of Temporal Feature Networks for Object Detection

• 论文/Paper: http://arxiv.org/pdf/2208.10773
• 代码/Code: None

Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss

• 论文/Paper: http://arxiv.org/pdf/2209.00364
• 代码/Code: None

CenterFormer: Center-based Transformer for 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2209.05588
• 代码/Code: https://github.com/tusimple/centerformer

返回目录/back

目标跟踪/Object Tracking

Tracking Objects as Pixel-wise Distributions

• 论文/Paper: http://arxiv.org/pdf/2207.05518
• 代码/Code: None

Towards Grand Unification of Object Tracking

• 论文/Paper: http://arxiv.org/pdf/2207.07078
• 代码/Code: https://github.com/masterbin-iiau/unicorn

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting

• 论文/Paper: http://arxiv.org/pdf/2207.09295
• 代码/Code: None

MOTCOM: The Multi-Object Tracking Dataset Complexity Metric

• 论文/Paper: http://arxiv.org/pdf/2207.10031
• 代码/Code: None

Robust Landmark-based Stent Tracking in X-ray Fluoroscopy

• 论文/Paper: http://arxiv.org/pdf/2207.09933
• 代码/Code: None

AiATrack: Attention in Attention for Transformer Visual Tracking

• 论文/Paper: http://arxiv.org/pdf/2207.09603
• 代码/Code: https://github.com/Little-Podi/AiATrack

3D Siamese Transformer Network for Single Object Tracking on Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2207.11995
• 代码/Code: None

Tracking Every Thing in the Wild

• 论文/Paper: http://arxiv.org/pdf/2207.12978
• 代码/Code: None

AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing

• 论文/Paper: http://arxiv.org/pdf/2207.13784
• 代码/Code: https://github.com/eth-siplab/AvatarPoser

Robust Multi-Object Tracking by Marginal Inference

• 论文/Paper: http://arxiv.org/pdf/2208.03727
• 代码/Code: None

Towards Sequence-Level Training for Visual Tracking

• 论文/Paper: http://arxiv.org/pdf/2208.05810
• 代码/Code: https://github.com/byminji/SLTtrack

返回目录/back

语义分割/Segmentation

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

• 论文/Paper: http://arxiv.org/pdf/2207.02372
• 代码/Code: https://github.com/xing0047/tps

OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers

• 论文/Paper: http://arxiv.org/pdf/2207.02255
• 代码/Code: https://github.com/pjlallen/osformer

PseudoClick: Interactive Image Segmentation with Click Imitation

• 论文/Paper: http://arxiv.org/pdf/2207.05282
• 代码/Code: None

XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

• 论文/Paper: http://arxiv.org/pdf/2207.07115
• 代码/Code: https://github.com/hkchengrex/XMem

Tackling Background Distraction in Video Object Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.06953
• 代码/Code: https://github.com/suhwan-cho/tbd

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.08549
• 代码/Code: None

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.08485
• 代码/Code: https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN

Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding

• 论文/Paper: http://arxiv.org/pdf/2207.08455
• 代码/Code: None

Learning Quality-aware Dynamic Memory for Video Object Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.07922
• 代码/Code: https://github.com/workforai/QDMN

Box-supervised Instance Segmentation with Level Set Evolution

• 论文/Paper: http://arxiv.org/pdf/2207.09055
• 代码/Code: https://github.com/LiWentomng/boxlevelset

ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.09045
• 代码/Code: None

Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach

• 论文/Paper: http://arxiv.org/pdf/2207.09314
• 代码/Code: None

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.09988
• 代码/Code: https://github.com/dvlab-research/decouplenet

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.09778
• 代码/Code: https://github.com/saltoricristiano/cosmix-uda

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.09763
• 代码/Code: https://github.com/saltoricristiano/gipso-sfouda

Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions

• 论文/Paper: http://arxiv.org/pdf/2207.10667
• 代码/Code: https://github.com/theo2021/onda

In Defense of Online Models for Video Instance Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.10661
• 代码/Code: https://github.com/wjf5203/vnext

Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.10436
• 代码/Code: https://github.com/guoleisun/vss-mrcfa

Long-tailed Instance Segmentation using Gumbel Optimized Loss

• 论文/Paper: http://arxiv.org/pdf/2207.10936
• 代码/Code: https://github.com/kostas1515/GOL

Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.10892
• 代码/Code: None

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.10866
• 代码/Code: None

Self-Support Few-Shot Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.11549
• 代码/Code: https://github.com/fanq15/SSP

Active Pointly-Supervised Instance Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.11493
• 代码/Code: None

Video Mask Transfiner for High-Quality Video Instance Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.14012
• 代码/Code: None

Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation

• 论文/Paper: http://arxiv.org/pdf/2208.00306
• 代码/Code: None

Per-Clip Video Object Segmentation

• 论文/Paper: http://arxiv.org/pdf/2208.01924
• 代码/Code: https://github.com/pkyong95/PCVOS

Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels

• 论文/Paper: http://arxiv.org/pdf/2208.02804
• 代码/Code: None

Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration

• 论文/Paper: http://arxiv.org/pdf/2208.03901
• 代码/Code: None

Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications

• 论文/Paper: http://arxiv.org/pdf/2208.03826
• 代码/Code: https://github.com/owenzlz/EgoHOS

Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2208.10169
• 代码/Code: https://github.com/jayqine/mgd-ssss

Occlusion-Aware Instance Segmentation via BiLayer Network Architectures

• 论文/Paper: http://arxiv.org/pdf/2208.04438
• 代码/Code: https://github.com/lkeab/BCNet

返回目录/back

Video Segmentation

Video Mask Transfiner for High-Quality Video Instance Segmentation

• 论文/Paper: https://arxiv.org/abs/2207.14012
• 代码/Code: https://github.com/SysCV/vmt

返回目录/back

医学图像分割/Medical Image Segmentation

Personalizing Federated Medical Image Segmentation via Local Calibration

• 论文/Paper: http://arxiv.org/pdf/2207.04655
• 代码/Code: https://github.com/jcwang123/FedLC

Learning Topological Interactions for Multi-Class Medical Image Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.09654
• 代码/Code: https://github.com/topoxlab/topointeraction

qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment

• 论文/Paper: http://arxiv.org/pdf/2208.09836
• 代码/Code: https://github.com/TechnionComputationalMRILab/qDWI-Morph.

Self-Supervised Pretraining for 2D Medical Image Segmentation

• 论文/Paper: http://arxiv.org/pdf/2209.00314
• 代码/Code: None

返回目录/back

Knowledge Distillation

Knowledge Condensation Distillation

• 论文/Paper: http://arxiv.org/pdf/2207.05409
• 代码/Code: https://github.com/dzy3/KCD

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation

• 论文/Paper: http://arxiv.org/pdf/2207.09158
• 代码/Code: https://github.com/sungwon-han/fedx

返回目录/back

Action Detection

ReAct: Temporal Action Detection with Relational Queries

• 论文/Paper: http://arxiv.org/pdf/2207.07097
• 代码/Code: https://github.com/sssste/react

Semi-Supervised Temporal Action Detection with Proposal-Free Masking

• 论文/Paper: http://arxiv.org/pdf/2207.07059
• 代码/Code: https://github.com/sauradip/SPOT

Temporal Action Detection with Global Segmentation Mask Learning

• 论文/Paper: http://arxiv.org/pdf/2207.06580
• 代码/Code: https://github.com/sauradip/TAGS

Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions

• 论文/Paper: http://arxiv.org/pdf/2207.11805
• 代码/Code: None

HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization

• 论文/Paper: http://arxiv.org/pdf/2208.03486
• 代码/Code: None

返回目录/back

Action Recognition

Compound Prototype Matching for Few-shot Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.05515
• 代码/Code: None

Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.09767
• 代码/Code: https://github.com/canbaoburen/CoDT

Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2208.01897
• 代码/Code: None

PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2208.05775
• 代码/Code: https://github.com/skelemoa/psumnet

Lane Change Classification and Prediction with Action Recognition Networks

• 论文/Paper: http://arxiv.org/pdf/2208.11650
• 代码/Code: None

Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2209.01425
• 代码/Code: None

返回目录/back

Anomaly Detection

Registration based Few-Shot Anomaly Detection

• 论文/Paper: http://arxiv.org/pdf/2207.07361
• 代码/Code: https://github.com/MediaBrain-SJTU/RegAD

Look at Adjacent Frames: Video Anomaly Detection without Offline Training

• 论文/Paper: http://arxiv.org/pdf/2207.13798
• 代码/Code: None

Towards Open Set Video Anomaly Detection

• 论文/Paper: http://arxiv.org/pdf/2208.11113
• 代码/Code: None

返回目录/back

人脸识别/Face Recognition

Controllable and Guided Face Synthesis for Unconstrained Face Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.10180
• 代码/Code: None

Towards Robust Face Recognition with Comprehensive Search

• 论文/Paper: http://arxiv.org/pdf/2208.13600
• 代码/Code: None

返回目录/back

人体姿态估计/Human Pose Estimation

Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2207.02425
• 代码/Code: None

Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks

• 论文/Paper: http://arxiv.org/pdf/2207.05444
• 代码/Code: https://github.com/JiehongLin/Self-DPDN

Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning

• 论文/Paper: http://arxiv.org/pdf/2207.06101
• 代码/Code: https://github.com/boeun-kim/gl-transformer

TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance

• 论文/Paper: http://arxiv.org/pdf/2207.07861
• 代码/Code: https://github.com/yanjh97/TransGrasp

Pose for Everything: Towards Category-Agnostic Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2207.10387
• 代码/Code: https://github.com/luminxu/Pose-for-Everything

C3P: Cross-domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation

• 论文/Paper: None
• 代码/Code: https://github.com/wucunlin/C3P

3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal

• 论文/Paper: http://arxiv.org/pdf/2207.11061
• 代码/Code: https://github.com/MengHao666/HDR.

Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection

• 论文/Paper: http://arxiv.org/pdf/2207.10955
• 代码/Code: None

ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization

• 论文/Paper: http://arxiv.org/pdf/2207.13691
• 代码/Code: None

RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2208.00237
• 代码/Code: None

Neural Correspondence Field for Object Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2208.00113
• 代码/Code: None

Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2208.00090
• 代码/Code: None

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

• 论文/Paper: http://arxiv.org/pdf/2208.00571
• 代码/Code: https://github.com/huawei-noah/noah-research/tree/master/CLIFF

PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2208.07755
• 代码/Code: None

Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian

• 论文/Paper: http://arxiv.org/pdf/2208.09122
• 代码/Code: None

Learning Visibility for Robust Dense Human Body Estimation

• 论文/Paper: http://arxiv.org/pdf/2208.10652
• 代码/Code: https://github.com/chhankyao/visdb

返回目录/back

人脸活体检测/Face Anti-Spoofing

Generative Domain Adaptation for Face Anti-Spoofing

• 论文/Paper: http://arxiv.org/pdf/2207.10015
• 代码/Code: None

Multi-domain Learning for Updating Face Anti-spoofing Models

• 论文/Paper: http://arxiv.org/pdf/2208.11148
• 代码/Code: None

返回目录/back

人脸属性识别/Facial Attribute Recognition

FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification

• 论文/Paper: http://arxiv.org/pdf/2207.10888
• 代码/Code: https://github.com/Bernardo1998/FairGRAPE

返回目录/back

人脸相关 / Face

On Mitigating Hard Clusters for Face Clustering

• 论文/Paper: http://arxiv.org/pdf/2207.11895
• 代码/Code: https://github.com/echoanran/On-Mitigating-Hard-Clusters.

Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis

• 论文/Paper: http://arxiv.org/pdf/2207.11770
• 代码/Code: None

Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression

• 论文/Paper: http://arxiv.org/pdf/2208.07142
• 代码/Code: None

返回目录/back

3D reconstruction

Latent Partition Implicit with Surface Codes for 3D Representation

• 论文/Paper: https://arxiv.org/abs/2207.08631
• 代码/Code: https://github.com/chenchao15/LPI

LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2208.09815
• 代码/Code: None

SimpleRecon: 3D Reconstruction Without 3D Convolutions

• 论文/Paper: http://arxiv.org/pdf/2208.14743
• 代码/Code: None

返回目录/back

Human Reconstruction

3D Clothed Human Reconstruction in the Wild

• 论文/Paper: http://arxiv.org/pdf/2207.10053
• 代码/Code: https://github.com/hygenie1228/clothwild_release

UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation

• 论文/Paper: http://arxiv.org/pdf/2207.09835
• 代码/Code: https://github.com/ShenhanQian/UNIF

The One Where They Reconstructed 3D Humans and Environments in TV Shows

• 论文/Paper: http://arxiv.org/pdf/2207.14279
• 代码/Code: None

BCom-Net: Coarse-to-Fine 3D Textured Body Shape Completion Network

• 论文/Paper: http://arxiv.org/pdf/2208.08768
• 代码/Code: None

Neural Capture of Animatable 3D Human from Monocular Video

• 论文/Paper: http://arxiv.org/pdf/2208.08728
• 代码/Code: None

返回目录/back

Relighting

Geometry-aware Single-image Full-body Human Relighting

• 论文/Paper: http://arxiv.org/pdf/2207.04750
• 代码/Code: None

Relighting4D: Neural Relightable Human from Videos

• 论文/Paper: http://arxiv.org/pdf/2207.07104
• 代码/Code: https://github.com/FrozenBurning/Relighting4D

返回目录/back

DeepFake

Detecting and Recovering Sequential DeepFake Manipulation

• 论文/Paper: http://arxiv.org/abs/2207.02204
• 代码/Code: https://github.com/rshaojimmy/seqdeepfake

An Efficient Method for Face Quality Assessment on the Edge

• 论文/Paper: http://arxiv.org/pdf/2207.09505
• 代码/Code: None

返回目录/back

OCR

Character decomposition to resolve class imbalance problem in Hangul OCR

• 论文/Paper: http://arxiv.org/pdf/2208.06079
• 代码/Code: None

Shift Variance in Scene Text Detection

• 论文/Paper: http://arxiv.org/pdf/2208.09231
• 代码/Code: None

1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words

• 论文/Paper: http://arxiv.org/pdf/2209.00224
• 代码/Code: None

Levenshtein OCR

• 论文/Paper: http://arxiv.org/pdf/2209.03594
• 代码/Code: None

返回目录/back

Text Recognition

Scene Text Recognition with Permuted Autoregressive Sequence Models

• 论文/Paper: http://arxiv.org/pdf/2207.06966
• 代码/Code: https://github.com/baudm/parseq

Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting

• 论文/Paper: http://arxiv.org/pdf/2207.06694
• 代码/Code: https://github.com/hikopensource/davar-lab-ocr

Contextual Text Block Detection towards Scene Text Understanding

• 论文/Paper: http://arxiv.org/pdf/2207.12955
• 代码/Code: None

GLASS: Global to Local Attention for Scene-Text Spotting

• 论文/Paper: http://arxiv.org/pdf/2208.03364
• 代码/Code: None

Multi-Granularity Prediction for Scene Text Recognition

• 论文/Paper: http://arxiv.org/pdf/2209.03592
• 代码/Code: None

返回目录/back

点云/Point Cloud

Open-world Semantic Segmentation for LIDAR Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2207.01452
• 代码/Code: https://github.com/jun-cen/open_world_3d_semantic_segmentation

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2207.04397
• 代码/Code: None

CPO: Change Robust Panorama to Point Cloud Localization

• 论文/Paper: http://arxiv.org/pdf/2207.05317
• 代码/Code: None

diffConv: Analyzing Irregular Point Clouds with an Irregular View

• 论文/Paper: https://arxiv.org/abs/2111.14658
• 代码/Code: https://github.com/mmmmimic/diffConvNet

CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement

• 论文/Paper: http://arxiv.org/pdf/2207.08082
• 代码/Code: None

Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.09084
• 代码/Code: None

SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer

• 论文/Paper: http://arxiv.org/pdf/2207.10315
• 代码/Code: https://github.com/hrzhou2/seedformer

Dynamic 3D Scene Analysis by Point Cloud Accumulation

• 论文/Paper: http://arxiv.org/pdf/2207.12394
• 代码/Code: None

3D Siamese Transformer Network for Single Object Tracking on Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2207.11995
• 代码/Code: None

Salient Object Detection for Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2207.11889
• 代码/Code: None

MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud

• 论文/Paper: http://arxiv.org/pdf/2207.14268
• 代码/Code: https://github.com/MichaelRamamonjisoa/MonteBoxFinder

Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation

• 论文/Paper: http://arxiv.org/pdf/2208.14893
• 代码/Code: https://github.com/514dna/llt

Learning to Generate Realistic LiDAR Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2209.03954
• 代码/Code: None

返回目录/back

光流估计/Flow Estimation

Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation

• 论文/Paper: http://arxiv.org/pdf/2207.07522
• 代码/Code: https://github.com/cwc1260/BiFlow

What Matters for 3D Scene Flow Network

• 论文/Paper: http://arxiv.org/pdf/2207.09143
• 代码/Code: https://github.com/IRMVLab/3DFlow

Deep 360$^\circ$ Optical Flow Estimation Based on Multi-Projection Fusion

• 论文/Paper: http://arxiv.org/pdf/2208.00776
• 代码/Code: None

返回目录/back

深度估计/Depth Estimation

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

• 论文/Paper: http://arxiv.org/pdf/2207.04718
• 代码/Code: None

Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics

• 论文/Paper: http://arxiv.org/pdf/2207.04680
• 代码/Code: https://github.com/SenZHANG-GitHub/ekf-imu-depth

RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation

• 论文/Paper: http://arxiv.org/pdf/2207.11984
• 代码/Code: None

Self-distilled Feature Aggregation for Self-supervised Monocular Depth Estimation

• 论文/Paper: http://arxiv.org/pdf/2209.07088
• 代码/Code: https://github.com/ZM-Zhou/SDFA-Net_pytorch

返回目录/back

车道线检测/Lane Detection

RCLane: Relay Chain Prediction for Lane Detection

• 论文/Paper: http://arxiv.org/pdf/2207.09399
• 代码/Code: None

返回目录/back

轨迹预测/Trajectory Prediction

Action-based Contrastive Learning for Trajectory Prediction

• 论文/Paper: http://arxiv.org/pdf/2207.08664
• 代码/Code: None

Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction

• 论文/Paper: http://arxiv.org/pdf/2207.09953
• 代码/Code: https://github.com/inhwanbae/gpgraph

Aware of the History: Trajectory Forecasting with the Local Behavior Data

• 论文/Paper: http://arxiv.org/pdf/2207.09646
• 代码/Code: None

Human Trajectory Prediction via Neural Social Physics

• 论文/Paper: http://arxiv.org/pdf/2207.10435
• 代码/Code: https://github.com/realcrane/human-trajectory-prediction-via-neural-social-physics

D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights

• 论文/Paper: http://arxiv.org/pdf/2207.10398
• 代码/Code: https://github.com/vtp-tl/d2-tpred

返回目录/back

超分/Super-Resolution

Image Super-Resolution with Deep Dictionary

• 论文/Paper: http://arxiv.org/pdf/2207.09228
• 代码/Code: None

Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

• 论文/Paper: http://arxiv.org/pdf/2207.09156
• 代码/Code: None

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution

• 论文/Paper: http://arxiv.org/pdf/2207.10345
• 代码/Code: https://github.com/cheeun/cadyq

Towards Interpretable Video Super-Resolution via Alternating Optimization

• 论文/Paper: http://arxiv.org/pdf/2207.10765
• 代码/Code: None

Reference-based Image Super-Resolution with Deformable Attention Transformer

• 论文/Paper: http://arxiv.org/pdf/2207.11938
• 代码/Code: None

Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution

• 论文/Paper: http://arxiv.org/pdf/2208.03012
• 代码/Code: https://github.com/researchmm/FTVSR

HST: Hierarchical Swin Transformer for Compressed Image Super-resolution

• 论文/Paper: http://arxiv.org/pdf/2208.09885
• 代码/Code: None

DSR: Towards Drone Image Super-Resolution

• 论文/Paper: http://arxiv.org/pdf/2208.12327
• 代码/Code: https://github.com/ivrl/dsr

返回目录/back

图像去噪/Image Denoising

Optimizing Image Compression via Joint Learning with Denoising

• 论文/Paper: http://arxiv.org/pdf/2207.10869
• 代码/Code: https://github.com/felixcheng97/DenoiseCompression

返回目录/back

图像去模糊/Image Deblurring

Spatio-Temporal Deformable Attention Network for Video Deblurring

• 论文/Paper: http://arxiv.org/pdf/2207.10852
• 代码/Code: None

Efficient Video Deblurring Guided by Motion Magnitude

• 论文/Paper: http://arxiv.org/pdf/2207.13374
• 代码/Code: None

Learning Degradation Representations for Image Deblurring

• 论文/Paper: http://arxiv.org/pdf/2208.05244
• 代码/Code: https://github.com/dasongli1/learning_degradation

Towards Real-World Video Deblurring by Exploring Blur Formation Process

• 论文/Paper: http://arxiv.org/pdf/2208.13184
• 代码/Code: None

返回目录/back

图像复原/Image Restoration

D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration

• 论文/Paper: http://arxiv.org/pdf/2207.03294
• 代码/Code: https://github.com/zhaoyuzhi/D2HNet

返回目录/back

图像修复/Image Inpainting

Flow-Guided Transformer for Video Inpainting

• 论文/Paper: http://arxiv.org/pdf/2208.06768
• 代码/Code: https://github.com/hitachinsk/fgt

Unbiased Multi-Modality Guidance for Image Inpainting

• 论文/Paper: http://arxiv.org/pdf/2208.11844
• 代码/Code: https://github.com/yeates/MMT

返回目录/back

图像增强/Image Enhancement

Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression

• 论文/Paper: http://arxiv.org/pdf/2207.10564
• 代码/Code: https://github.com/jinyeying/night-enhancement

返回目录/back

Video Interpolation

Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow

• 论文/Paper: http://arxiv.org/pdf/2208.09127
• 代码/Code: None

返回目录/back

Temporal Action Segmentation

Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation

• 论文/Paper: http://arxiv.org/pdf/2209.00638
• 代码/Code: None

返回目录/back

检索/Image Retrieval

Feature Representation Learning for Unsupervised Cross-domain Image Retrieval

• 论文/Paper: http://arxiv.org/pdf/2207.09721
• 代码/Code: https://github.com/conghuihu/ucdir

A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch

• 论文/Paper: http://arxiv.org/pdf/2208.03354
• 代码/Code: None

CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval

• 论文/Paper: http://arxiv.org/pdf/2208.09843
• 代码/Code: None

返回目录/back

Lossy Image Compression with Conditional Diffusion Models

• 论文/Paper: http://arxiv.org/pdf/2209.06950
• 代码/Code: None

返回目录/back

其他/Other

Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets

• 论文/Paper: http://arxiv.org/pdf/2207.01573
• 代码/Code: None

GraphVid: It Only Takes a Few Nodes to Understand a Video

• 论文/Paper: http://arxiv.org/pdf/2207.01375
• 代码/Code: None

Target-absent Human Attention

• 论文/Paper: http://arxiv.org/pdf/2207.01166
• 代码/Code: None

Lottery Ticket Hypothesis for Spiking Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2207.01382
• 代码/Code: None

Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality

• 论文/Paper: http://arxiv.org/abs/2207.02119
• 代码/Code: https://github.com/kingjamessong/orthoimprovecond

AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture

• 论文/Paper: http://arxiv.org/abs/2207.02031
• 代码/Code: https://github.com/lizhe00/AvatarCap.

DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images

• 论文/Paper: http://arxiv.org/abs/2207.02025
• 代码/Code: None

Learning Local Implicit Fourier Representation for Image Warping

• 论文/Paper: http://arxiv.org/abs/2207.01831
• 代码/Code: https://github.com/jaewon-lee-b/ltew

SESS: Saliency Enhancing with Scaling and Sliding

• 论文/Paper: http://arxiv.org/abs/2207.01769
• 代码/Code: https://github.com/neouyghur/sess

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts

• 论文/Paper: http://arxiv.org/abs/2207.01696
• 代码/Code: None

DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.02606
• 代码/Code: None

FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

• 论文/Paper: http://arxiv.org/pdf/2207.02595
• 代码/Code: https://github.com/timothyhtimothy/fast-vqa

Towards Realistic Semi-Supervised Learning

• 论文/Paper: http://arxiv.org/pdf/2207.02269
• 代码/Code: None

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning

• 论文/Paper: http://arxiv.org/pdf/2207.02261
• 代码/Code: None

Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning

• 论文/Paper: http://arxiv.org/pdf/2207.02598
• 代码/Code: None

Factorizing Knowledge in Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2207.03337
• 代码/Code: None

SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning

• 论文/Paper: http://arxiv.org/pdf/2207.03677
• 代码/Code: https://github.com/RICE-EIC/SuperTickets.

Video Dialog as Conversation about Objects Living in Space-Time

• 论文/Paper: http://arxiv.org/pdf/2207.03656
• 代码/Code: https://github.com/hoanganhpham1006/COST

Demystifying Unsupervised Semantic Correspondence Estimation

• 论文/Paper: http://arxiv.org/pdf/2207.05054
• 代码/Code: None

A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision

• 论文/Paper: http://arxiv.org/pdf/2207.04997
• 代码/Code: None

DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization

• 论文/Paper: http://arxiv.org/pdf/2207.04788
• 代码/Code: None

Batch-efficient EigenDecomposition for Small and Medium Matrices

• 论文/Paper: http://arxiv.org/pdf/2207.04228
• 代码/Code: None

Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space

• 论文/Paper: http://arxiv.org/pdf/2207.04161
• 代码/Code: None

Camera Pose Auto-Encoders for Improving Pose Regression

• 论文/Paper: http://arxiv.org/pdf/2207.05530
• 代码/Code: https://github.com/yolish/camera-pose-auto-encoders

Synergistic Self-supervised and Quantization Learning

• 论文/Paper: http://arxiv.org/pdf/2207.05432
• 代码/Code: https://github.com/megvii-research/SSQL-ECCV2022

Frequency Domain Model Augmentation for Adversarial Attack

• 论文/Paper: http://arxiv.org/pdf/2207.05382
• 代码/Code: https://github.com/yuyang-long/ssa

Organic Priors in Non-Rigid Structure from Motion

• 论文/Paper: http://arxiv.org/pdf/2207.06262
• 代码/Code: None

Unsupervised Visual Representation Learning by Synchronous Momentum Grouping

• 论文/Paper: http://arxiv.org/pdf/2207.06167
• 代码/Code: None

Learning Implicit Templates for Point-Based Clothed Human Modeling

• 论文/Paper: http://arxiv.org/pdf/2207.06955
• 代码/Code: https://github.com/jsnln/fite

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2207.06873
• 代码/Code: https://github.com/explainableml/bayescap

Lipschitz Continuity Retained Binary Neural Network

• 论文/Paper: http://arxiv.org/pdf/2207.06540
• 代码/Code: https://github.com/42shawn/lcr_bnn

3D Instances as 1D Kernels

• 论文/Paper: http://arxiv.org/pdf/2207.07372
• 代码/Code: https://github.com/W1zheng/DKNet

ScaleNet: Searching for the Model to Scale

• 论文/Paper: http://arxiv.org/pdf/2207.07267
• 代码/Code: https://github.com/luminolx/ScaleNet

Rethinking Data Augmentation for Robust Visual Question Answering

• 论文/Paper: http://arxiv.org/pdf/2207.08739
• 代码/Code: https://github.com/ItemZheng/KDDAug

Semantic Novelty Detection via Relational Reasoning

• 论文/Paper: http://arxiv.org/pdf/2207.08699
• 代码/Code: None

Label2Label: A Language Modeling Framework for Multi-Attribute Learning

• 论文/Paper: http://arxiv.org/pdf/2207.08677
• 代码/Code: https://github.com/Li-Wanhua/Label2Label.

Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes

• 论文/Paper: http://arxiv.org/pdf/2207.08656
• 代码/Code: https://github.com/UncleMEDM/InstPIFu

Class-incremental Novel Class Discovery

• 论文/Paper: http://arxiv.org/pdf/2207.08605
• 代码/Code: https://github.com/OatmealLiu/class-iNCD

MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects

• 论文/Paper: http://arxiv.org/pdf/2207.08403
• 代码/Code: None

SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement

• 论文/Paper: http://arxiv.org/pdf/2207.08351
• 代码/Code: None

Learning with Recoverable Forgetting

• 论文/Paper: http://arxiv.org/pdf/2207.08224
• 代码/Code: None

Zero-Shot Temporal Action Detection via Vision-Language Prompting

• 论文/Paper: http://arxiv.org/pdf/2207.08184
• 代码/Code: https://github.com/sauradip/STALE

Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal

• 论文/Paper: http://arxiv.org/pdf/2207.08178
• 代码/Code: None

FashionViL: Fashion-Focused Vision-and-Language Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2207.08150
• 代码/Code: https://github.com/BrandonHanx/mmf.

E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context

• 论文/Paper: http://arxiv.org/pdf/2207.08132
• 代码/Code: https://github.com/kyleleey/E-NeRV.

Neural Color Operators for Sequential Image Retouching

• 论文/Paper: http://arxiv.org/pdf/2207.08080
• 代码/Code: https://github.com/amberwangyili/neurop

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

• 论文/Paper: http://arxiv.org/pdf/2207.07932
• 代码/Code: None

JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes

• 论文/Paper: http://arxiv.org/pdf/2207.07895
• 代码/Code: at~\href{https://github.com/sunnyHelen/JPerceiver}{https://github.com/sunnyHelen/JPerceiver}.

You Should Look at All Objects

• 论文/Paper: http://arxiv.org/pdf/2207.07889
• 代码/Code: None

NeFSAC: Neurally Filtered Minimal Samples

• 论文/Paper: http://arxiv.org/pdf/2207.07872
• 代码/Code: https://github.com/cavalli1234/NeFSAC.

CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS

• 论文/Paper: http://arxiv.org/pdf/2207.07868
• 代码/Code: https://github.com/walkerning/aw_nas.

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

• 论文/Paper: http://arxiv.org/pdf/2207.07826
• 代码/Code: https://github.com/WentaoChen0813/CDCS-FSL

Self-calibrating Photometric Stereo by Neural Inverse Rendering

• 论文/Paper: http://arxiv.org/pdf/2207.07815
• 代码/Code: https://github.com/junxuan-li/SCPS-NIR

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection

• 论文/Paper: http://arxiv.org/pdf/2207.07783
• 代码/Code: https://github.com/SRA2/SPELL

Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search

• 论文/Paper: http://arxiv.org/pdf/2207.08350
• 代码/Code: None

PoserNet: Refining Relative Camera Poses Exploiting Object Detections

• 论文/Paper: http://arxiv.org/pdf/2207.09445
• 代码/Code: https://github.com/IIT-PAVIS/PoserNet

Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos

• 论文/Paper: http://arxiv.org/pdf/2207.09425
• 代码/Code: None

Deep Semantic Statistics Matching (D2SM) Denoising Network

• 论文/Paper: http://arxiv.org/pdf/2207.09302
• 代码/Code: None

3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform

• 论文/Paper: http://arxiv.org/pdf/2207.09291
• 代码/Code: https://github.com/Starrah/DMH-Net

NDF: Neural Deformable Fields for Dynamic Human Modelling

• 论文/Paper: http://arxiv.org/pdf/2207.09193
• 代码/Code: None

Self-Supervision Can Be a Good Few-Shot Learner

• 论文/Paper: http://arxiv.org/pdf/2207.09176
• 代码/Code: https://github.com/bbbdylan/unisiam

ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild

• 论文/Paper: http://arxiv.org/pdf/2207.09137
• 代码/Code: https://github.com/bytedance/particle-sfm.

MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views

• 论文/Paper: http://arxiv.org/pdf/2207.09086
• 代码/Code: None

SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data

• 论文/Paper: http://arxiv.org/pdf/2207.08979
• 代码/Code: None

Prior-Guided Adversarial Initialization for Fast Adversarial Training

• 论文/Paper: http://arxiv.org/pdf/2207.08859
• 代码/Code: https://github.com/jiaxiaojunQAQ/FGSM-PGI.

Prior Knowledge Guided Unsupervised Domain Adaptation

• 论文/Paper: http://arxiv.org/pdf/2207.08877
• 代码/Code: https://github.com/tsun/KUDA

Discover and Mitigate Unknown Biases with Debiasing Alternate Networks

• 论文/Paper: http://arxiv.org/pdf/2207.10077
• 代码/Code: https://github.com/zhihengli-UR/DebiAN

Difficulty-Aware Simulator for Open Set Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.10024
• 代码/Code: https://github.com/wjun0830/difficulty-aware-simulator

Tailoring Self-Supervision for Supervised Learning

• 论文/Paper: http://arxiv.org/pdf/2207.10023
• 代码/Code: https://github.com/wjun0830/localizable-rotation

Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain

• 论文/Paper: http://arxiv.org/pdf/2207.10002
• 代码/Code: https://github.com/boschresearch/sourcegen

Temporal and cross-modal attention for audio-visual zero-shot learning

• 论文/Paper: http://arxiv.org/pdf/2207.09966
• 代码/Code: https://github.com/explainableml/tcaf-gzsl

Telepresence Video Quality Assessment

• 论文/Paper: http://arxiv.org/pdf/2207.09956
• 代码/Code: None

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

• 论文/Paper: http://arxiv.org/pdf/2207.09935
• 代码/Code: None

Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification

• 论文/Paper: http://arxiv.org/pdf/2207.09884
• 代码/Code: None

Discrete-Constrained Regression for Local Counting Models

• 论文/Paper: http://arxiv.org/pdf/2207.09865
• 代码/Code: None

Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction

• 论文/Paper: http://arxiv.org/pdf/2207.09705
• 代码/Code: None

Efficient Meta-Tuning for Content-aware Neural Video Delivery

• 论文/Paper: http://arxiv.org/pdf/2207.09691
• 代码/Code: https://github.com/neural-video-delivery/emt-pytorch-eccv2022

Object-Compositional Neural Implicit Surfaces

• 论文/Paper: http://arxiv.org/pdf/2207.09686
• 代码/Code: https://github.com/qianyiwu/objsdf

Explaining Deepfake Detection by Analysing Image Matching

• 论文/Paper: http://arxiv.org/pdf/2207.09679
• 代码/Code: https://github.com/megvii-research/fst-matching

ERA: Expert Retrieval and Assembly for Early Action Prediction

• 论文/Paper: http://arxiv.org/pdf/2207.09675
• 代码/Code: None

Perspective Phase Angle Model for Polarimetric 3D Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2207.09629
• 代码/Code: https://github.com/gcchen97/ppa4p3d

Explicit Image Caption Editing

• 论文/Paper: http://arxiv.org/pdf/2207.09625
• 代码/Code: https://github.com/baaaad/ece

Unsupervised Deep Multi-Shape Matching

• 论文/Paper: http://arxiv.org/pdf/2207.09610
• 代码/Code: None

Contributions of Shape, Texture, and Color in Visual Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.09510
• 代码/Code: https://github.com/gyhandy/humanoid-vision-engine

Novel Class Discovery without Forgetting

• 论文/Paper: http://arxiv.org/pdf/2207.10659
• 代码/Code: None

Approximate Differentiable Rendering with Algebraic Surfaces

• 论文/Paper: http://arxiv.org/pdf/2207.10606
• 代码/Code: None

FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling

• 论文/Paper: http://arxiv.org/pdf/2207.10392
• 代码/Code: None

Error Compensation Framework for Flow-Guided Video Inpainting

• 论文/Paper: http://arxiv.org/pdf/2207.10391
• 代码/Code: None

NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.10388
• 代码/Code: None

Temporal Saliency Query Network for Efficient Video Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.10379
• 代码/Code: None

UFO: Unified Feature Optimization

• 论文/Paper: http://arxiv.org/pdf/2207.10341
• 代码/Code: None

OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search

• 论文/Paper: http://arxiv.org/pdf/2207.10320
• 代码/Code: None

Towards Accurate Open-Set Recognition via Background-Class Regularization

• 论文/Paper: http://arxiv.org/pdf/2207.10287
• 代码/Code: None

Grounding Visual Representations with Texts for Domain Generalization

• 论文/Paper: http://arxiv.org/pdf/2207.10285
• 代码/Code: https://github.com/mswzeus/gvrt

SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks

• 论文/Paper: http://arxiv.org/pdf/2207.10237
• 代码/Code: https://github.com/apple/ml-spin

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

• 论文/Paper: http://arxiv.org/pdf/2207.10228
• 代码/Code: None

On Label Granularity and Object Localization

• 论文/Paper: http://arxiv.org/pdf/2207.10225
• 代码/Code: https://github.com/visipedia/inat_loc

Spotting Temporally Precise, Fine-Grained Events in Video

• 论文/Paper: http://arxiv.org/pdf/2207.10213
• 代码/Code: None

Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles

• 论文/Paper: http://arxiv.org/pdf/2207.10172
• 代码/Code: None

GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2207.10158
• 代码/Code: https://github.com/seleucia/goca

Visual Knowledge Tracing

• 论文/Paper: http://arxiv.org/pdf/2207.10157
• 代码/Code: https://github.com/nkondapa/visualknowledgetracing

Tackling Long-Tailed Category Distribution Under Domain Shifts

• 论文/Paper: http://arxiv.org/pdf/2207.10150
• 代码/Code: https://github.com/guxiao0822/lt-ds

Latent Discriminant deterministic Uncertainty

• 论文/Paper: http://arxiv.org/pdf/2207.10130
• 代码/Code: https://github.com/ensta-u2is/ldu

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance

• 论文/Paper: http://arxiv.org/pdf/2207.10123
• 代码/Code: https://github.com/zzh-tech/Animation-from-Blur.

Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach

• 论文/Paper: http://arxiv.org/pdf/2207.10188
• 代码/Code: None

Structural Causal 3D Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2207.10156
• 代码/Code: None

AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation

• 论文/Paper: http://arxiv.org/pdf/2207.10141
• 代码/Code: None

Continual Variational Autoencoder Learning via Online Cooperative Memorization

• 论文/Paper: http://arxiv.org/pdf/2207.10131
• 代码/Code: https://github.com/dtuzi123/ovae

Panoptic Scene Graph Generation

• 论文/Paper: http://arxiv.org/pdf/2207.11247
• 代码/Code: https://github.com/Jingkang50/OpenPSG

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

• 论文/Paper: http://arxiv.org/pdf/2207.11213
• 代码/Code: None

POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion

• 论文/Paper: http://arxiv.org/pdf/2207.11001
• 代码/Code: https://github.com/HumaticsLAB/POP-Mining-POtential-Performance

Few-shot Object Counting and Detection

• 论文/Paper: http://arxiv.org/pdf/2207.10988
• 代码/Code: https://github.com/VinAIResearch/Counting-DETR

Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection

• 论文/Paper: http://arxiv.org/pdf/2207.10948
• 代码/Code: https://github.com/Beyond-Zw/DLAN-AC.

My View is the Best View: Procedure Learning from Egocentric Videos

• 论文/Paper: http://arxiv.org/pdf/2207.10883
• 代码/Code: https://github.com/Sid2697/EgoProceL-egocentric-procedure-learning

Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation

• 论文/Paper: http://arxiv.org/pdf/2207.10856
• 代码/Code: https://github.com/Hongbin98/ProCA.git

MeshLoc: Mesh-Based Visual Localization

• 论文/Paper: http://arxiv.org/pdf/2207.10762
• 代码/Code: None

MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation

• 论文/Paper: http://arxiv.org/pdf/2207.12389
• 代码/Code: None

Deforming Radiance Fields with Cages

• 论文/Paper: http://arxiv.org/pdf/2207.12298
• 代码/Code: None

Equivariance and Invariance Inductive Bias for Learning from Insufficient Data

• 论文/Paper: http://arxiv.org/pdf/2207.12258
• 代码/Code: https://github.com/Wangt-CN/EqInv

Black-box Few-shot Knowledge Distillation

• 论文/Paper: http://arxiv.org/pdf/2207.12106
• 代码/Code: https://github.com/nphdang/FS-BBT

Balancing Stability and Plasticity through Advanced Null Space in Continual Learning

• 论文/Paper: http://arxiv.org/pdf/2207.12061
• 代码/Code: None

Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning

• 论文/Paper: http://arxiv.org/pdf/2207.11934
• 代码/Code: None

NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing

• 论文/Paper: http://arxiv.org/pdf/2207.11911
• 代码/Code: None

Domain Adaptive Person Search

• 论文/Paper: http://arxiv.org/pdf/2207.11898
• 代码/Code: https://github.com/caposerenity/DAPS.

VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments

• 论文/Paper: http://arxiv.org/pdf/2207.11810
• 代码/Code: None

Label-Guided Auxiliary Training Improves 3D Object Detector

• 论文/Paper: http://arxiv.org/pdf/2207.11753
• 代码/Code: None

Combining Internal and External Constraints for Unrolling Shutter in Videos

• 论文/Paper: http://arxiv.org/pdf/2207.11725
• 代码/Code: None

TIPS: Text-Induced Pose Synthesis

• 论文/Paper: http://arxiv.org/pdf/2207.11718
• 代码/Code: None

Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes

• 论文/Paper: http://arxiv.org/pdf/2207.11707
• 代码/Code: None

Learning Graph Neural Networks for Image Style Transfer

• 论文/Paper: http://arxiv.org/pdf/2207.11681
• 代码/Code: None

Contrastive Monotonic Pixel-Level Modulation

• 论文/Paper: http://arxiv.org/pdf/2207.11517
• 代码/Code: https://github.com/lukun199/MonoPix.

CompNVS: Novel View Synthesis with Scene Completion

• 论文/Paper: http://arxiv.org/pdf/2207.11467
• 代码/Code: None

When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.11463
• 代码/Code: https://github.com/LBH1024/CAN.

Meta Spatio-Temporal Debiasing for Video Scene Graph Generation

• 论文/Paper: http://arxiv.org/pdf/2207.11441
• 代码/Code: None

3D Shape Sequence of Human Comparison and Classification using Current and Varifolds

• 论文/Paper: http://arxiv.org/pdf/2207.12485
• 代码/Code: https://github.com/cristal-3dsam/humancomparisonvarifolds

NewsStories: Illustrating articles with visual summaries

• 论文/Paper: http://arxiv.org/pdf/2207.13061
• 代码/Code: https://github.com/newsstoriesdata/newsstories.github.io

Efficient One Pass Self-distillation with Zipf's Label Smoothing

• 论文/Paper: http://arxiv.org/pdf/2207.12980
• 代码/Code: https://github.com/megvii-research/zipfls

AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2207.12909
• 代码/Code: None

Static and Dynamic Concepts for Self-supervised Video Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2207.12795
• 代码/Code: None

Learning Hierarchy Aware Features for Reducing Mistake Severity

• 论文/Paper: http://arxiv.org/pdf/2207.12646
• 代码/Code: https://github.com/07agarg/haf

Translating a Visual LEGO Manual to a Machine-Executable Plan

• 论文/Paper: http://arxiv.org/pdf/2207.12572
• 代码/Code: None

Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning

• 论文/Paper: http://arxiv.org/pdf/2207.12535
• 代码/Code: https://github.com/xinleihe/semi-leak

Trainability Preserving Neural Structured Pruning

• 论文/Paper: http://arxiv.org/pdf/2207.12534
• 代码/Code: https://github.com/mingsun-tse/tpp

Shift-tolerant Perceptual Similarity Metric

• 论文/Paper: http://arxiv.org/pdf/2207.13686
• 代码/Code: http://github.com/abhijay9/ShiftTolerant-LPIPS/

Abstracting Sketches through Simple Primitives

• 论文/Paper: http://arxiv.org/pdf/2207.13543
• 代码/Code: https://github.com/ExplainableML/sketch-primitives.

AutoTransition: Learning to Recommend Video Transition Effects

• 论文/Paper: http://arxiv.org/pdf/2207.13479
• 代码/Code: https://github.com/acherstyx/AutoTransition

Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips

• 论文/Paper: http://arxiv.org/pdf/2207.13417
• 代码/Code: https://github.com/jiawangbai/HPT

Identifying Hard Noise in Long-Tailed Sample Distribution

• 论文/Paper: http://arxiv.org/pdf/2207.13378
• 代码/Code: https://github.com/yxymessi/H2E-Framework

One-Trimap Video Matting

• 论文/Paper: http://arxiv.org/pdf/2207.13353
• 代码/Code: https://github.com/Hongje/OTVM

PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation

• 论文/Paper: http://arxiv.org/pdf/2207.13340
• 代码/Code: None

End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement

• 论文/Paper: http://arxiv.org/pdf/2207.13268
• 代码/Code: None

Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.13259
• 代码/Code: https://github.com/MartinXM/TPS

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation

• 论文/Paper: http://arxiv.org/pdf/2207.13247
• 代码/Code: None

LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity

• 论文/Paper: http://arxiv.org/pdf/2207.13129
• 代码/Code: None

Initialization and Alignment for Adversarial Texture Optimization

• 论文/Paper: http://arxiv.org/pdf/2207.14289
• 代码/Code: None

Depth Field Networks for Generalizable Multi-view Scene Representation

• 论文/Paper: http://arxiv.org/pdf/2207.14287
• 代码/Code: None

Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection

• 论文/Paper: http://arxiv.org/pdf/2207.14192
• 代码/Code: https://github.com/enlighten0707/Body-Part-Map-for-Interactiveness.

Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images

• 论文/Paper: http://arxiv.org/pdf/2207.14067
• 代码/Code: None

Break and Make: Interactive Structural Understanding Using LEGO Bricks

• 论文/Paper: http://arxiv.org/pdf/2207.13738
• 代码/Code: https://github.com/aaronwalsman/ltron.

A Repulsive Force Unit for Garment Collision Handling in Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2207.13871
• 代码/Code: None

Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion

• 论文/Paper: http://arxiv.org/pdf/2207.14782
• 代码/Code: https://github.com/low5545/minimal-neural-atlas

Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding

• 论文/Paper: http://arxiv.org/pdf/2207.14698
• 代码/Code: https://github.com/haojc/ShufflingVideosForTSG.

AlphaVC: High-Performance and Efficient Learned Video Compression

• 论文/Paper: http://arxiv.org/pdf/2207.14678
• 代码/Code: None

WISE: Whitebox Image Stylization by Example-based Learning

• 论文/Paper: http://arxiv.org/pdf/2207.14606
• 代码/Code: None

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels

• 论文/Paper: http://arxiv.org/pdf/2207.14476
• 代码/Code: None

Video Question Answering with Iterative Video-Text Co-Tokenization

• 论文/Paper: http://arxiv.org/pdf/2208.00934
• 代码/Code: None

S$^2$Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning

• 论文/Paper: http://arxiv.org/pdf/2208.00874
• 代码/Code: None

Skeleton-free Pose Transfer for Stylized 3D Characters

• 论文/Paper: http://arxiv.org/pdf/2208.00790
• 代码/Code: None

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

• 论文/Paper: http://arxiv.org/pdf/2208.00617
• 代码/Code: https://github.com/GANPerf/SAM

SdAE: Self-distillated Masked Autoencoder

• 论文/Paper: http://arxiv.org/pdf/2208.00449
• 代码/Code: https://github.com/AbrahamYabo/SdAE.

Out-of-Distribution Detection with Semantic Mismatch under Masking

• 论文/Paper: http://arxiv.org/pdf/2208.00446
• 代码/Code: https://github.com/cure-lab/MOODCat

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

• 论文/Paper: http://arxiv.org/pdf/2208.00368
• 代码/Code: None

Revisiting the Critical Factors of Augmentation-Invariant Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2208.00275
• 代码/Code: None

Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network

• 论文/Paper: http://arxiv.org/pdf/2208.00183
• 代码/Code: None

Few-Shot Class-Incremental Learning from an Open-Set Perspective

• 论文/Paper: http://arxiv.org/pdf/2208.00147
• 代码/Code: None

DAS: Densely-Anchored Sampling for Deep Metric Learning

• 论文/Paper: http://arxiv.org/pdf/2208.00119
• 代码/Code: https://github.com/lizhaoliu-Lec/DAS

Fast Two-step Blind Optical Aberration Correction

• 论文/Paper: http://arxiv.org/pdf/2208.00950
• 代码/Code: None

Negative Frames Matter in Egocentric Visual Query 2D Localization

• 论文/Paper: http://arxiv.org/pdf/2208.01949
• 代码/Code: https://github.com/facebookresearch/vq2d_cvpr

Neighborhood Collective Estimation for Noisy Label Identification and Correction

• 论文/Paper: http://arxiv.org/pdf/2208.03207
• 代码/Code: None

PlaneFormers: From Sparse View Planes to 3D Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2208.04307
• 代码/Code: None

SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty

• 论文/Paper: http://arxiv.org/pdf/2208.04043
• 代码/Code: None

Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects

• 论文/Paper: http://arxiv.org/pdf/2208.03792
• 代码/Code: https://github.com/PKU-EPIC/DREDS

Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer

• 论文/Paper: http://arxiv.org/pdf/2208.03767
• 代码/Code: None

Learning Omnidirectional Flow in 360-degree Video via Siamese Representation

• 论文/Paper: http://arxiv.org/pdf/2208.03620
• 代码/Code: None

Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation

• 论文/Paper: http://arxiv.org/pdf/2208.03552
• 代码/Code: None

Contrastive Positive Mining for Unsupervised 3D Action Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2208.03497
• 代码/Code: None

Speaker-adaptive Lip Reading with User-dependent Padding

• 论文/Paper: http://arxiv.org/pdf/2208.04498
• 代码/Code: None

Contrast-Phys: Unsupervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast

• 论文/Paper: http://arxiv.org/pdf/2208.04378
• 代码/Code: https://github.com/zhaodongsun/contrast-phys

Rethinking Robust Representation Learning Under Fine-grained Noisy Faces

• 论文/Paper: http://arxiv.org/pdf/2208.04352
• 代码/Code: None

RDA: Reciprocal Distribution Alignment for Robust SSL

• 论文/Paper: http://arxiv.org/pdf/2208.04619
• 代码/Code: https://github.com/njuyued/rda4robustssl

RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild

• 论文/Paper: http://arxiv.org/pdf/2208.05963
• 代码/Code: None

PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees

• 论文/Paper: http://arxiv.org/pdf/2208.05962
• 代码/Code: https://github.com/immortalco/pointtree

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition

• 论文/Paper: http://arxiv.org/pdf/2208.05768
• 代码/Code: https://github.com/winycg/self-kd-lib

PRIF: Primary Ray-based Implicit Function

• 论文/Paper: http://arxiv.org/pdf/2208.06143
• 代码/Code: None

Learning Semantic Correspondence with Sparse Annotations

• 论文/Paper: http://arxiv.org/pdf/2208.06974
• 代码/Code: None

CCRL: Contrastive Cell Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2208.06445
• 代码/Code: None

Pose Forecasting in Industrial Human-Robot Collaboration

• 论文/Paper: http://arxiv.org/pdf/2208.07308
• 代码/Code: None

Combating Label Distribution Shift for Active Domain Adaptation

• 论文/Paper: http://arxiv.org/pdf/2208.06604
• 代码/Code: None

Matching Multiple Perspectives for Efficient Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2208.07654
• 代码/Code: None

Uncertainty-guided Source-free Domain Adaptation

• 论文/Paper: http://arxiv.org/pdf/2208.07591
• 代码/Code: https://github.com/roysubhankar/uncertainty-sfda

Context-Aware Streaming Perception in Dynamic Environments

• 论文/Paper: http://arxiv.org/pdf/2208.07479
• 代码/Code: https://github.com/eyalsel/contextual-streaming-perception

Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System

• 论文/Paper: http://arxiv.org/pdf/2208.08220
• 代码/Code: None

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets

• 论文/Paper: http://arxiv.org/pdf/2208.08084
• 代码/Code: None

DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning

• 论文/Paper: http://arxiv.org/pdf/2208.08112
• 代码/Code: None

L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training

• 论文/Paper: http://arxiv.org/pdf/2208.08711
• 代码/Code: https://github.com/snu-arc/l3

ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization

• 论文/Paper: http://arxiv.org/pdf/2208.08631
• 代码/Code: https://github.com/jiwoncocoder/conmatch

Unifying Visual Perception by Dispersible Points Learning

• 论文/Paper: http://arxiv.org/pdf/2208.08630
• 代码/Code: https://github.com/sense-x/unihead

Visual Cross-View Metric Localization with Dense Uncertainty Estimates

• 论文/Paper: http://arxiv.org/pdf/2208.08519
• 代码/Code: https://github.com/tudelft-iv/crossviewmetriclocalization

GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization

• 论文/Paper: http://arxiv.org/pdf/2208.10024
• 代码/Code: None

SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms

• 论文/Paper: http://arxiv.org/pdf/2208.09896
• 代码/Code: None

Artifact-Based Domain Generalization of Skin Lesion Models

• 论文/Paper: http://arxiv.org/pdf/2208.09756
• 代码/Code: None

Fuse and Attend: Generalized Embedding Learning for Art and Sketches

• 论文/Paper: http://arxiv.org/pdf/2208.09698
• 代码/Code: None

Effectiveness of Function Matching in Driving Scene Recognition

• 论文/Paper: http://arxiv.org/pdf/2208.09694
• 代码/Code: None

Consistency Regularization for Domain Adaptation

• 论文/Paper: http://arxiv.org/pdf/2208.11084
• 代码/Code: https://github.com/kw01sg/crda

IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification

• 论文/Paper: http://arxiv.org/pdf/2208.11052
• 代码/Code: https://github.com/trinhvg/impash

Deep Structural Causal Shape Models

• 论文/Paper: http://arxiv.org/pdf/2208.10950
• 代码/Code: None

Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling

• 论文/Paper: http://arxiv.org/pdf/2208.10683
• 代码/Code: None

Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound

• 论文/Paper: http://arxiv.org/pdf/2208.10642
• 代码/Code: None

The Value of Out-of-Distribution Data

• 论文/Paper: http://arxiv.org/pdf/2208.10967
• 代码/Code: None

Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization

• 论文/Paper: http://arxiv.org/pdf/2208.10730
• 代码/Code: https://github.com/kaminyou/urust

RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN

• 论文/Paper: http://arxiv.org/pdf/2208.10608
• 代码/Code: https://github.com/huyvnphan/eccv2022-ribac

Cross-Camera View-Overlap Recognition

• 论文/Paper: http://arxiv.org/pdf/2208.11661
• 代码/Code: None

On the Design of Privacy-Aware Cameras: a Study on Deep Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2208.11372
• 代码/Code: https://github.com/upciti/privacy-by-design-semseg

Discovering Transferable Forensic Features for CNN-generated Images Detection

• 论文/Paper: http://arxiv.org/pdf/2208.11342
• 代码/Code: None

Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2208.11168
• 代码/Code: https://github.com/andreagemelli/doc2graph

Learning Continuous Implicit Representation for Near-Periodic Patterns

• 论文/Paper: http://arxiv.org/pdf/2208.12278
• 代码/Code: None

NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems

• 论文/Paper: http://arxiv.org/pdf/2208.12771
• 代码/Code: https://github.com/human-analysis/neural-structural-identification

Take One Gram of Neural Features, Get Enhanced Group Robustness

• 论文/Paper: http://arxiv.org/pdf/2208.12625
• 代码/Code: None

CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions

• 论文/Paper: http://arxiv.org/pdf/2208.13528
• 代码/Code: None

ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer

• 论文/Paper: http://arxiv.org/pdf/2208.14201
• 代码/Code: None

Probing Contextual Diversity for Dense Out-of-Distribution Detection

• 论文/Paper: http://arxiv.org/pdf/2208.14195
• 代码/Code: None

CAIR: Fast and Lightweight Multi-Scale Color Attention Network for Instagram Filter Removal

• 论文/Paper: http://arxiv.org/pdf/2208.14039
• 代码/Code: https://github.com/hnv-lab/cair

FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics

• 论文/Paper: http://arxiv.org/pdf/2208.14206
• 代码/Code: None

Style-Agnostic Reinforcement Learning

• 论文/Paper: http://arxiv.org/pdf/2208.14863
• 代码/Code: https://github.com/postech-cvlab/style-agnostic-rl

LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices

• 论文/Paper: http://arxiv.org/pdf/2209.00961
• 代码/Code: https://github.com/zhyever/LiteDepth

Unpaired Image Translation via Vector Symbolic Architectures

• 论文/Paper: http://arxiv.org/pdf/2209.02686
• 代码/Code: None

CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal

• 论文/Paper: http://arxiv.org/pdf/2209.02174
• 代码/Code: None

Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection

• 论文/Paper: http://arxiv.org/pdf/2209.01881
• 代码/Code: None

Recurrent Bilinear Optimization for Binary Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2209.01542
• 代码/Code: https://github.com/SteveTsui/RBONN

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions

• 论文/Paper: http://arxiv.org/pdf/2209.01501
• 代码/Code: None

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies

• 论文/Paper: http://arxiv.org/pdf/2209.01404
• 代码/Code: https://github.com/Sense-GVT/BCDN

Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps

• 论文/Paper: http://arxiv.org/pdf/2209.02869
• 代码/Code: https://github.com/Alii-Ganjj/InterpretationsSteeredPruning

Exploring Anchor-based Detection for Ego4D Natural Language Query

• 论文/Paper: http://arxiv.org/pdf/2208.05375
• 代码/Code: None

Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders

• 论文/Paper: http://arxiv.org/pdf/2209.05269
• 代码/Code: None

Switchable Online Knowledge Distillation

• 论文/Paper: http://arxiv.org/pdf/2209.04996
• 代码/Code: https://github.com/hfutqian/SwitOKD

Self-supervised Human Mesh Recovery with Cross-Representation Alignment

• 论文/Paper: http://arxiv.org/pdf/2209.04596
• 代码/Code: None

Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection

• 论文/Paper: http://arxiv.org/pdf/2209.05809
• 代码/Code: None

PointScatter: Point Set Representation for Tubular Structure Extraction

• 论文/Paper: http://arxiv.org/pdf/2209.05774
• 代码/Code: https://github.com/zhangzhao2022/pointscatter

Adversarial Coreset Selection for Efficient Robust Training

• 论文/Paper: http://arxiv.org/pdf/2209.05785
• 代码/Code: None

Out-of-Vocabulary Challenge Report

• 论文/Paper: http://arxiv.org/pdf/2209.06717
• 代码/Code: None

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction

• 论文/Paper: http://arxiv.org/pdf/2209.06351
• 代码/Code: https://github.com/gitkaichenzhou/DevNet.

MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report

• 论文/Paper: http://arxiv.org/pdf/2209.07057
• 代码/Code: https://github.com/mipi-challenge/MIPI2022.

MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report

• 论文/Paper: http://arxiv.org/pdf/2209.07060
• 代码/Code: https://github.com/mipi-challenge/MIPI2022.

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results

• 论文/Paper: http://arxiv.org/pdf/2209.07052
• 代码/Code: https://github.com/mipi-challenge/MIPI2022.

Hydra Attention: Efficient Attention with Many Heads

• 论文/Paper: http://arxiv.org/pdf/2209.07484
• 代码/Code: None

返回目录/back