Video Attention Modeling on DHF1K
0.919AUCAAM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| AAM2026.06 | 0.919 | 0.421 | 0.563 | 3.272 | |
| VSSM2026.06 | 0.915 | 0.383 | 0.521 | 3.027 | |
| STSANet2026.06 | 0.913 | 0.383 | 0.529 | 3.01 | |
| MSFF-Net2026.06 | 0.913 | 0.392 | 0.534 | 3.066 | |
| RecSal-Net2026.06 | 0.913 | 0.414 | 0.547 | 3.135 | |
| TSFP-Net2026.06 | 0.912 | 0.392 | 0.517 | 2.967 | |
| TFS-Net2026.06 | 0.912 | 0.412 | 0.527 | 2.953 | |
| HD2S2026.06 | 0.908 | 0.406 | 0.503 | 2.812 | |
| ViNet2026.06 | 0.908 | 0.381 | 0.511 | 2.872 | |
| ECANet2026.06 | 0.903 | 0.385 | 0.5 | 2.814 | |
| UNISAL2026.06 | 0.901 | 0.39 | 0.49 | 2.776 | |
| TASED-Net2026.06 | 0.895 | 0.361 | 0.47 | 2.667 | |
| ACLNet2026.06 | 0.89 | 0.315 | 0.434 | 2.354 | |
| DeepVS2026.06 | 0.856 | 0.256 | 0.344 | 1.911 |