Anomaly Detection In Surveillance Videos On 2
Metrics
AP
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AP |
|---|---|
| multi-scale-bottleneck-transformer-for-weakly | 84.32 |
| consistency-based-self-supervised-learning | 71.68 |
| cross-modal-fusion-and-attention-mechanism-1 | 86.34 |
| modality-aware-contrastive-instance-learning | 83.4 |
| self-supervised-sparse-representation-for | 80.26 |
| learning-weakly-supervised-audio-visual | 85.67 |
| Model 7 | 76.9 |
| learning-prompt-enhanced-context-features-for | 85.59 |
| mgfn-magnitude-contrastive-glance-and-focus | 80.11 |
| audio-guided-attention-network-for-weakly | 83.54 |
| aligning-first-then-fusing-a-novel-weakly | 86.07 |
| weakly-supervised-video-anomaly-detection | 77.81 |
| not-only-look-but-also-listen-learning | 78.64 |
| batchnorm-based-weakly-supervised-video | 84.93 |