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

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

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

Useful Toolbox for Anomaly Detection

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

Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection

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

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

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

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

Official implementation of "GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection"

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

Pytorch code for ECCVW 2022 paper "Consistency-based Self-supervised Learning for Temporal Anomaly Localization"

AutoregressModel-AE_VAD_CVPR2019 (code reimplemetation)

Contains code and documentation for our VANE-Bench paper.

✨✨✨Official implementation of "Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity"

Implementation of "Advancing Video Anomaly Detection: A Concise Review and a New Dataset" (NeurIPS 2024). [MSAD Dataset]

Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement (CVPR2022)

Official implementation of AAAI'24 paper "VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection"