Video Saliency Detection On Dhf1K
Métriques
AUC-J
CC
NSS
SIM
s-AUC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | AUC-J | CC | NSS | SIM | s-AUC | Paper Title | Repository |
|---|---|---|---|---|---|---|---|
| HD2S | 0.908 | 0.503 | 2.812 | 0.406 | 0.70 | Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction | |
| ViNet | 0.908 | 0.51 | 2.87 | - | 0.728 | ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction | |
| TASED-Net | - | - | 2.667 | - | - | TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection |
0 of 3 row(s) selected.