General Action Video Anomaly Detection On
평가 지표
Architecture
Avg. ROC-AUC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Architecture | Avg. ROC-AUC | Paper Title | Repository |
---|---|---|---|---|
Pooled Image Level kNN | ViT | 0.58 | Approaches Toward Physical and General Video Anomaly Detection | |
Video Level features kNN | TimeSformer | 0.52 | Approaches Toward Physical and General Video Anomaly Detection | |
MNAD | - | 0.52 | Learning Memory-guided Normality for Anomaly Detection |
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