A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images(paper)
Learning Normal Dynamics in Videos with Meta Proto type Network(paper)
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video(paper)
Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations（paper）
Inpainting Transformer for Anomaly Detection (paper)
Anomaly Detection in Video via Self-Supervised and Multi-Task Learningpaper
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detectionpaper
CutPaste: Self-Supervised Learning for Anomaly Detection and Localizationpaper
Pixel-wise Anomaly Detection in Complex Driving Scenespaper
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentationpapercode
Multiresolution Knowledge Distillation for Anomaly Detectionpapercode
LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection
GAN Ensemble for Anomaly Detection (paper)(code)
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering (paper)(code)
Appearance-Motion Memory Consistency Network for Video Anomaly Detection
Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Time Series Anomaly Detection with Multiresolution Ensemble Decoding
Few-Shot One-Class Classification via Meta-Learning (paper)
Deep Unsupervised Anomaly Detection (paper)
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach (paper)(code)
Graph Embedded Pose Clustering for Anomaly Detection (paper)(code)
Bergmann_Uninformed_Students_Student-Teacher_Anomaly_Detection_With_Discriminative_Latent_Embeddings (paper)
Park_Learning_Memory-Guided_Normality_for_Anomaly_Detection (paper)
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection (paper)
Few-Shot Scene-Adaptive Anomaly Detection (paper)(code)
Clustering Driven Deep Autoencoder for Video Anomaly Detection (paper)
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images (paper)(code)
Backpropagated Gradient Representations for Anomaly Detection (paper)
Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection (paper)
Utilizing Patch-level Category Activation Patterns for Multiple Class Novelty Detection (paper)
Multiple Class Novelty Detection Under Data Distribution Shift (paper)
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network (paper)
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features (paper)(code)
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (paper)(code)
Multi-scale Anomaly Detection on Attributed Networks (paper)(code)
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing (paper)
Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection Vincent Vercruyssen (paper)(code)
Multi-class Novelty Detection Using Mix-up Technique (paper)
Reverse Variational Autoencoder for Visual Attribute Manipulation and Anomaly Detection (paper)(code)
Adversarial Discriminative Attention for Robust Anomaly Detection (paper)
Street Scene: A new dataset and evaluation protocol for video anomaly detection (paper)
Relativistic Discriminator: A One-Class Classifier for Generalized Iris Presentation Attack Detection (paper)(code)
A Day on Campus - An Anomaly Detection Dataset for Events in a Single Camera (paper)
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation (paper)(code)
Where's Wally Now_ Deep Generative and Discriminative Embeddings for Novelty Detection (paper)
OCGAN_ One-Class Novelty Detection Using GANs With Constrained Latent Representations(paper)(code)
MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection(paper)
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos(paper)
Latent Space Autoregression for Novelty Detection(paper)(code)
Graph Convolutional Label Noise Cleaner_ Train a Plug-And-Play Action Classifier for Anomaly Detection(paper)(code)
Deep Transfer Learning for Multiple Class Novelty Detection(paper)(code)
Multivariate Triangular Quantile Maps for Novelty Detection (paper)(code)
PIDForest: Anomaly Detection via Partial Identification (paper)(code)
Transfer Anomaly Detection by Inferring Latent Domain Representations (paper)
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection (paper)
Temporal anomaly detection: calibrating the surprise (paper)(code)(TDA data set)
Robust Anomaly Detection in Videos using Multilevel Representations (paper)(code)
Multi-View Anomaly Detection: Neighborhood in Locality Matters (paper)
Learning Competitive and Discriminative Reconstructions for Anomaly Detection (paper)
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data (paper)
One-Class Adversarial Nets for Fraud Detection (paper)(code)
Anomaly Detection in Video Sequence With Appearance-Motion Correspondence (paper)
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection (paper)
GODS: Generalized One-Class Discriminative Subspaces for Anomaly Detection (paper)
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