Unsupervised Saliency Detection On Ecssd
Métriques
Accuracy
IoU
maximal F-measure
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | IoU | maximal F-measure | Paper Title | Repository |
|---|---|---|---|---|---|
| SelfMask | 95.5 | 81.8 | 95.6 | Unsupervised Salient Object Detection with Spectral Cluster Voting | - |
| MOVE | 95.6 | 83.6 | 92.1 | MOVE: Unsupervised Movable Object Segmentation and Detection | - |
| TokenCut | 93.4 | 77.2 | 87.4 | Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut | - |
0 of 3 row(s) selected.