tianyu0207/RTFM

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

47
/ 100
Emerging

Implements robust temporal feature magnitude learning for weakly-supervised anomaly detection using only video-level labels during training. The approach operates on pre-extracted I3D features and employs magnitude-based learning to improve robustness against noisy weak labels. PyTorch implementation with pre-computed feature sets for ShanghaiTech and UCF-Crime benchmarks, integrated with Visdom for training visualization.

337 stars.

No License No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

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Stars

337

Forks

81

Language

Python

License

—

Category

anomaly-detection-systems

Last pushed

Oct 29, 2025

Commits (30d)

0

GitHub
Anomaly Detection Systems · 19 tools

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