Anomaly Detection On Ubnormal
Metrics
AUC
RBDC
TBDC
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AUC | RBDC | TBDC |
|---|---|---|---|
| a-scene-agnostic-framework-with-adversarial | 61.3% | 25.43 | 56.27 |
| is-space-time-attention-all-you-need-for | 68.5% | 0.04 | 0.05 |
| follow-the-rules-reasoning-for-video-anomaly | 71.9% | - | - |
| mulde-multiscale-log-density-estimation-via | 72.8% | - | - |
| contracting-skeletal-kinematic-embeddings-for | 64.9% | - | - |
| real-world-anomaly-detection-in-surveillance | 50.3% | 0.002 | 0.001 |
| normalizing-flows-for-human-pose-anomaly | 71.8% | - | - |
| contracting-skeletal-kinematic-embeddings-for | 62.9% | - | - |
| contracting-skeletal-kinematic-embeddings-for | 65% | - | - |
| bipoco-bi-directional-trajectory-prediction | 50.7 | - | - |
| feature-prediction-diffusion-model-for-video | 62.7 | - | - |
| ssmtl-revisiting-self-supervised-multi-task | 62.1% | 25.63 | 63.53 |
| normalizing-flows-for-human-pose-anomaly | 79.2% | - | - |
| multimodal-motion-conditioned-diffusion-model | 68.3% | - | - |