Anomaly Detection On Ucsd Peds2
Metrics
AUC
Results
Performance results of various models on this benchmark
Model Name | AUC | Paper Title | Repository |
|---|---|---|---|
| SSMTL | 97.5 | Anomaly Detection in Video via Self-Supervised and Multi-Task Learning | |
| Background-Agnostic Framework | 98.7 | A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video | |
| OMAE | 96.46 | Object-centric and memory-guided normality reconstruction for video anomaly detection | - |
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