Image Segmentation On Mas3K
Métriques
E-measure
MAE
S-measure
mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | E-measure | MAE | S-measure | mIoU | Paper Title | Repository |
|---|---|---|---|---|---|---|
| SAM2-UNet | 0.943 | 0.021 | 0.903 | 0.799 | SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation | |
| MASNet | 0.906 | 0.032 | 0.864 | 0.742 | MASNet: A Robust Deep Marine Animal Segmentation Network | |
| MAS-SAM | 0.938 | 0.025 | 0.887 | 0.788 | MAS-SAM: Segment Any Marine Animal with Aggregated Features | |
| ZoomNet | 0.898 | 0.032 | 0.862 | 0.736 | Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection |
0 of 4 row(s) selected.