video-anomaly-detection 开源项目推荐（67 个）

fjchange /awesome-video-anomaly-detection

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

mala-lab /ADBenchmarks-anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

tianyu0207 /RTFM

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

jqtangust /hawk

🔥[NeurIPS 2024] Official Implementation of Hawk: Learning to Understand Open-World Video Anomalies

Junxi-Chen /Awesome-Video-Anomaly-Detection

精心整理的视频异常检测论文、代码、数据集和工具集合，每周五更新

pipixin321 /HolmesVAU

[CVPR 2025 Highlight] Official implementation of "Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity"

fjchange /MIST_VAD

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

vt-le /astnet

This is an official implementation for "Attention-based Residual Autoencoder for Video Anomaly Detection".

YuhaoCheng /PyAnomaly

Useful Toolbox for Anomaly Detection

talreiss /Accurate-Interpretable-VAD

An Attribute-based Method for Video Anomaly Detection (TMLR 2025)

yuguangnudt /VEC_VAD

Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. Oral paper in ACM Multimedia 2020.

henrryzh1 /UR-DMU

Official code for AAAI2023 paper "Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection"

vera-framework /VERA

This is the code repo for the paper VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models (CVPR 2025).

tnybny /Frame-level-anomalies-in-videos

Frame level anomaly detection and localization in videos using auto-encoders

lilygeorgescu /AED-SSMTL

通过自我监督和多任务学习在视频中检测异常

fjchange /pytorch_ano_pre

Pytorch Re-implement of ano_pre_cvpr2018, flownet2 / lite-flownet used.

vt-le /HSTforU

This is an official implement for "HSTforU: Anomaly Detection in Aerial and Ground-based Videos with Hierarchical Spatio-Temporal Transformer for U-net"

pipixin321 /GlanceVAD

[ICME 2025 Oral] Official implementation of "GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection"

lilygeorgescu /AED

A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video

AnilOsmanTur /video_anomaly_diffusion

[ICIP 2023] Exploring Diffusion Models For Unsupervised Video Anomaly Detection