Command Palette
Search for a command to run...
Image Segmentation On Rmas
評価指標
E-measure
MAE
S-measure
mIoU
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
| Paper Title | |||||
|---|---|---|---|---|---|
| MAS-SAM | 0.948 | 0.021 | 0.865 | 0.742 | MAS-SAM: Segment Any Marine Animal with Aggregated Features |
| SAM2-UNet | 0.944 | 0.022 | 0.874 | 0.738 | SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation |
| MASNet | 0.920 | 0.024 | 0.862 | 0.731 | MASNet: A Robust Deep Marine Animal Segmentation Network |
| ZoomNet | 0.915 | 0.022 | 0.855 | 0.728 | Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection |
0 of 4 row(s) selected.