Papers › MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
Jia-Chang Feng, Fa-Ting Hong, Wei-Shi Zheng
Weakly supervised video anomaly detection (WS-VAD) is to distinguish anomalies from normal events based on discriminative representations. Most existing works are limited in insufficient video representations. In this work, we develop a multiple instance self-training framework (MIST)to efficiently refine task-specific discriminative representations with only video-level annotations. In particular, MIST is composed of 1) a multiple instance pseudo label generator, which adapts a sparse continuous sampling strategy to produce more reliable clip-level pseudo labels, and 2) a self-guided attention boosted feature encoder that aims to automatically focus on anomalous regions in frames while extracting task-specific representations. Moreover, we adopt a self-training scheme to optimize both components and finally obtain a task-specific feature encoder. Extensive experiments on two public datasets demonstrate the efficacy of our method, and our method performs comparably to or even better than existing supervised and weakly supervised methods, specifically obtaining a frame-level AUC 94.83% on ShanghaiTech.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Anomaly Detection In Surveillance Videos | ShanghaiTech Weakly Supervised | MIST | AUC-ROC | 94.83 | #9 of 12 | Archive leaderboard | report |
| Anomaly Detection In Surveillance Videos | UCF-Crime | MIST | ROC AUC | 82.30 | #14 of 21 | Archive leaderboard | report |
| Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | MIST | AUC-ROC | 94.83 | #14 of 16 | Archive leaderboard | report |
| Weakly-supervised Video Anomaly Detection | ShanghaiTech Weakly Supervised | MIST | FAR-Normal | 0.05 | #14 of 16 | Archive leaderboard | report |
| Weakly-supervised Video Anomaly Detection | UBnormal | MIST | AUC-ROC | 65.32 | #5 of 11 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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