Code for Quality-Aware Template Matching for Deep Learning https://github.com/cplusx/QATM
Dimensionality reduction in very large datasets using Siamese Networks https://github.com/beringresearch/ivis
ivis：基于Siamese Networks的大规模数据集结构保持降维算法 https://www.nature.com/articles/s41598-019-45301-0 https://github.com/beringresearch/ivis
图片匹配挑战2020】’Image Matching Benchmark - Public release of the Image Matching Benchmark' https://github.com/vcg-uvic/image-matching-benchmark
SiamMaskCpp - C++ Implementation of SiamMask https://github.com/nearthlab/SiamMaskCpp
《FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence》 https://github.com/google-research/fixmatch
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning https://github.com/yannick-lc/iccv2019-triplet-loss
PyTorch Implementation for SoftTriple Loss https://github.com/idstcv/SoftTriple
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval" https://github.com/layer6ai-labs/GSS
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" https://github.com/kekmodel/FixMatch-pytorch
Demo for "Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks", CVPR 2019.
https://github.com/seoungwugoh/ivs-demo
RF-Net: An End-to-End Image Matching Network based on Receptive Field https://github.com/Xylon-Sean/rfnet
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation https://github.com/xiaomengyc/SG-One
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System https://github.com/familyld/DeepCF
https://github.com/ZENGXH/DMM_Net
【(Keras)相似图像搜索度量学习】 https://keras.io/examples/vision/metric_learning/
RPM-Net: Robust Point Matching using Learned Features (CVPR2020) https://github.com/yewzijian/RPMNet
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral) https://github.com/magicleap/SuperGluePretrainedNetwork
Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020) https://github.com/clovaai/embedding-expansion
Neural Similarity Learning https://github.com/wy1iu/NSL
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" https://github.com/valencebond/FixMatch_pytorch
https://github.com/oke-aditya/image_similarity
基于 C++ 和 Python 语言实现的快速地图匹配框架：Fast Map Matching https://github.com/cyang-kth/fmm
Image-to-Image-Search：Elastic Search + Tensorflow开发的相似图片搜索引擎 https://github.com/sethuiyer/Image-to-Image-search
trace.moe：动画场景搜索网站 https://github.com/soruly/trace.moe
ODIFF：超快的图片逐像素比较工具 https://github.com/dmtrKovalenko/odiff
【图像匹配基准】’Image Matching Benchmark - Public release of the Image Matching Benchmark: image-matching-challenge.github.io' https://github.com/ubc-vision/image-matching-benchmark
Deep Image Retrieval: A Survey https://arxiv.org/abs/2101.11282
Same Energy：一个新的图片搜索引擎 https://same.energy/
[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors. https://github.com/HeatherJiaZG/SuperGlue-pytorch
Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2. https://github.com/sayakpaul/SimSiam-TF
Exploring Simple Siamese Representation Learning https://github.com/leaderj1001/SimSiam
FFD is a fast scale-invariant feature detector for computer vision tasks. This repo includes the code for keypoint detection from images. Given a pair of images, you can use this repo to extract matching features across the image pair.
https://github.com/mogvision/FFD
Learning and aggregating deep local descriptors for instance-level recognition https://github.com/gtolias/how
PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results https://github.com/AndrewAtanov/simclr-pytorch
Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020 https://github.com/bl0/PIC
A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet. https://github.com/taoyang1122/pytorch-SimSiam
A PyTorch implementation of CGD based on the paper "Combination of Multiple Global Descriptors for Image Retrieval" https://github.com/leftthomas/CGD
https://github.com/ivanpanshin/SupCon-Framework
Telling the What while Pointing the Where: Fine-grained Mouse Trace and Language Supervision for Improved Image Retrieval https://arxiv.org/abs/2102.04980
n Efficient Framework for Zero-Shot Sketch-Based Image Retrieval https://arxiv.org/abs/2102.04016
The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images" https://github.com/likyoo/Siam-NestedUNet
Pytorch Implementation of Unifying Deep Local and Global Features for Image Search (DELG) https://github.com/feymanpriv/DELG
A Straightforward Framework For Video Retrieval Using CLIP https://github.com/Deferf/CLIP_Video_Representation https://arxiv.org/abs/2102.12443
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition https://github.com/jac99/MinkLoc3D
Keras实例：语义图像聚类 https://keras.io/examples/vision/semantic_image_clustering/
Image Similarity Measures：图片相似度测度的Python实现 https://github.com/up42/image-similarity-measures
《Extremely Dense Point Correspondences using a Learned Feature Descriptor》(CVPR 2020) github.com/lppllppl920/DenseDescriptorLearning-Pytorch
Keras实例：基于三元组损失Siamese网络的图像相似性估计 https://keras.io/examples/vision/siamese_network/
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval https://www.arxiv-vanity.com/papers/2104.00650
《A Proposal-based Approach for Activity Image-to-Video Retrieval》(AAAI 2020) github.com/bcmi/Cross-modal-retrieval
Keras实例：基于对比损失Siamese Network的图像相似性估计 https://keras.io/examples/vision/siamese_contrastive/
COTR: Correspondence Transformer for Matching Across Images github.com/ubc-vision/COTR
《To Learn or Not to Learn: Visual Localization from Essential Matrices》(2020) github.com/GrumpyZhou/visloc-relapose
将对比学习扩展到有监督场景 https://ai.googleblog.com/2021/06/extending-contrastive-learning-to.html
对比表示学习 lilianweng.github.io/lil-log/2021/05/31/contrastive-representation-learning.html
Robust Reference-based Super-Resolution via C2-Matching github.com/yumingj/C2-Matching
github.com/Charleshhy/One-shot-Human-Parsing
《SPICE: Semantic Pseudo-labeling for Image Clustering》 github.com/niuchuangnn/SPICE
《Keep CALM and Improve Visual Feature Attribution》(2021) github.com/naver-ai/calm
libvot：C++11多线程图像检索库 github.com/hlzz/libvot
图像特征匹配算法评估工具箱 github.com/GrumpyZhou/image-matching-toolbox
Stitching Historical Aerial Photos：基于 SURF、 RANSAC 和 PyTorch autograd 的大规模航拍照片配准算法 github.com/luna983/stitch-aerial-photos
《Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition》(CVPR 2021) github.com/QVPR/Patch-NetVLAD
Dense Matching：PyTorch通用密集匹配库 github.com/PruneTruong/DenseMatching
PyTorch遥感图像变化检测库 github.com/likyoo/change_detection.pytorch
《MTVR: Multilingual Moment Retrieval in Videos》 github.com/jayleicn/mTVRetrieval
CIRR：基于真实图像的组合图像检索数据集 github.com/Cuberick-Orion/CIRR
图像取证工具：Sherloq，可对图像具体信息进行提取、分析、比对，并以此检测图像是否被篡改或伪造，功能颇为强大。 github.com/GuidoBartoli/sherloq
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets github.com/vkinakh/scatsimclr
TensorFlow Similarity: TensorFlow相似度学习/度量学习/对比学习库 github.com/tensorflow/similarity
Keras实例：NNCLR自监督对比学习 https://keras.io/examples/vision/nnclr/
Keras实例：近似重复图像搜索 https://keras.io/examples/vision/near_dup_search/
Kaggle地标识别(2021)比赛第一名方案 Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers github.com/ChristofHenkel/kaggle-landmark-2021-1st-place
Keras实例教程：基于TensorFlow Similarity的图像相似性搜索度量学习 https://keras.io/examples/vision/metric_learning_tf_similarity/
TorchIR: PyTorch图像配准库 github.com/BDdeVos/TorchIR
simsity：超简单的相似(检索)服务 github.com/koaning/simsity
Google_Landmark_Retrieval_2021_2nd_Place_Solution github.com/WesleyZhang1991/Google_Landmark_Retrieval_2021_2nd_Place_Solution
Bag of Tricks and A Strong baseline for Image Copy Detection github.com/WangWenhao0716/ISC-Track2-Submission
Facebook图像相似度挑战优胜方案汇总 github.com/drivendataorg/image-similarity-challenge
PASSL -包含PaddlePaddle实现的SimCLR，MoCo，BYOL，CLIP等基于对比学习的图像自监督算法以及 Vision-Transformer，Swin-Transformer，BEiT，CVT，T2T，MLP_Mixer等视觉Transformer算法
github.com/PaddlePaddle/PASSL
https://arxiv.org/abs/2203.11876
Similarities：语义相似度计算、匹配搜索工具包，支持文本和图像，开箱即用 github.com/shibing624/similarities
自监督学习教程：用pytorch lightning实现SimCLR https://theaisummer.com/simclr/
OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching https://arxiv.org/abs/2204.08870
[CV]《Masked Siamese ConvNets》L Jing, J Zhu, Y LeCun [Meta AI & NYU] (2022) https://arxiv.org/abs/2206.07700
【Finding all pairs of similar documents：省时省空间地从文档集中找出所有相似文档对】’Finding all pairs of similar documents - Finding all pairs of similar documents time- and memory-efficiently' by legalforce-research GitHub: github.com/legalforce-research/find-simdoc
对比学习（Contrastive Learning）:研究进展精要 https://zhuanlan.zhihu.com/p/367290573
[CV]《DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching》T Xie, K Dai, K Wang, R Li, L Zhao [Harbin Institute of Technology] (2023) https://arxiv.org/abs/2301.02993
【Glue Factory：用于训练和评估提取和匹配局部视觉特征的深度神经网络的开发库】’Glue Factory - CVG's library for training and evaluating deep neural network that extract and match local visual feature' CVG GitHub: github.com/cvg/glue-factory
【SMATCH++：用于处理图形的软件包，包括图形对齐和匹配，主要关注语义AMR图的标准化评估，使用结构匹配(Smatch)方法】’SMATCH++ - A package for handy processing of semantic graphs such as AMR, with a special focus on standardized evaluation' Juri Opitz GitHub: github.com/flipz357/smatchpp
【图像匹配相关文献资源列表】’Awesome-Image-Matching' by Zhenjun Zhao GitHub: github.com/ericzzj1989/Awesome-Image-Matching