Command Palette
Search for a command to run...
Abnormal Event Detection In Video On Ucsd
Metrics
AUC
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| AI-VAD | 99.1 | An Attribute-based Method for Video Anomaly Detection | |
| Background-Agnostic Framework | 98.7% | A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video | |
| SSMTL | 97.5% | Anomaly Detection in Video via Self-Supervised and Multi-Task Learning | |
| Adversarial Generator | 97.4% | Abnormal Event Detection in Videos using Generative Adversarial Nets | - |
0 of 4 row(s) selected.