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SotA/Computer Vision/Video Understanding/ShanghaiTech Weakly Supervised

Video Understanding on ShanghaiTech Weakly Supervised

Metric: AUC-ROC (higher is better)

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#Model↕AUC-ROC▼Extra DataPaperDate↕Code
1PEL98.14NoLearning Prompt-Enhanced Context Features for We...2023-06-26Code
2ProDisc-VAD97.98NoProDisc-VAD: An Efficient System for Weakly-Supe...2025-05-04Code
3Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection97.48NoWeakly-supervised Video Anomaly Detection with R...2021-01-25Code
4S3R97.48No--Code
5Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection97.48NoWeakly-supervised Video Anomaly Detection with R...2021-01-25Code
6RTFM97.21NoWeakly-supervised Video Anomaly Detection with R...2021-01-25Code
7MTFL (VST, finetuned on VADD)95.7YesMTFL: Multi-Timescale Feature Learning for Weakl...2024-10-08Code
8MTFL (VST)95.32NoMTFL: Multi-Timescale Feature Learning for Weakl...2024-10-08Code
9MIST94.83NoMIST: Multiple Instance Self-Training Framework ...2021-04-04Code
10AR-Net91.24NoWeakly Supervised Video Anomaly Detection via Ce...2021-04-15Code
11Multiple-Instance-Based-Video-Anomaly-Detection-Using-Deep-Temporal-Encoding-Decoding89.14NoMultiple Instance-Based Video Anomaly Detection ...2020-07-03Code
12GCN-Anomaly84.44NoGraph Convolutional Label Noise Cleaner: Train a...2019-03-18Code