Image Segmentation On Rmas
평가 지표
E-measure
MAE
S-measure
mIoU
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | E-measure | MAE | S-measure | mIoU | Paper Title | Repository |
|---|---|---|---|---|---|---|
| MASNet | 0.920 | 0.024 | 0.862 | 0.731 | MASNet: A Robust Deep Marine Animal Segmentation Network | |
| MAS-SAM | 0.948 | 0.021 | 0.865 | 0.742 | MAS-SAM: Segment Any Marine Animal with Aggregated Features | |
| ZoomNet | 0.915 | 0.022 | 0.855 | 0.728 | Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection | |
| SAM2-UNet | 0.944 | 0.022 | 0.874 | 0.738 | SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation |
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