Anomaly Detection In Surveillance Videos On 3
Métriques
AUC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | AUC | Paper Title | Repository |
|---|---|---|---|
| SSMTL | 97.5 | Anomaly Detection in Video via Self-Supervised and Multi-Task Learning | |
| CL-VAD | 97.8 | Continual Learning for Anomaly Detection in Surveillance Videos | - |
| Background-Agnostic Framework | 98.7 | A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video | |
| GCN-Anomaly | 93.2 | Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection | |
| FastAno | 96.3 | FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation | |
| RTFM | 98.6 | Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning |
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