Video Anomaly

Tiu MoLess than 1 minute

视频异常检测开源代码

Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors (CVPR'24) [Code]open in new window

Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection (TPAMI'22)

https://github.com/LiUzHiAn/hf2vad (ICCV'21)

MNAD https://github.com/cvlab-yonsei/MNAD (CVPR'20) [Code]open in new window

Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection (CVPR 2022)

[4] A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video (TPAMI 2021)

Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos (TCSVT 2022)

Bidirectional Spatio-Temporal Feature Learning With Multiscale Evaluation for Video Anomaly Detection (TCSVT 2022)
[5] Anomaly Detection With Bidirectional Consistency in Videos (TNNLS 2022)
[6] Variational Abnormal Behavior Detection With Motion Consistency (TIP 2022)
[7] DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos (TPAMI 2023) [8] A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos (TCSVT 2023)
[9] Learnable Locality-Sensitive Hashing for Video Anomaly Detection (TCSVT 2023)
[10] A Kalman Variational Autoencoder Model Assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection (TIP 2023) [11] Abnormal Event Detection and Localization via Adversarial Event Prediction (TNNLS 2023)

Cluster Attention Contrast for Video Anomaly Detection (ACM MM 2020) --> The first to apply Contrastive Learninig

A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction **(ICCV 2021)

Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles **(ECCV 2022)