Attribution Analysis on FIVES
0.0005SEG-GRADSwin-Unet
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Swin-UnetSegmentation Architecture=Swin-Unet, Salient Regions=top-102026.02 | 0.0005 | 3.46 | 0.0754 | |
| VM-UNetSegmentation Architecture=VM-UNet, Salient Regions=top-102026.02 | 0.0113 | 7.92 | 0.2384 | |
| U-NetSegmentation Architecture=U-Net, Salient Regions=top-102026.02 | 0.0203 | 86.15 | 1.0742 | |
| SegFormerSegmentation Architecture=SegFormer, Salient Regions=top-102026.02 | 0.0247 | 5.23 | 0.224 | |
| UNet++Segmentation Architecture=UNet++, Salient Regions=top-102026.02 | 0.0265 | 92.86 | 0.9957 | |
| SegNetSegmentation Architecture=SegNet, Salient Regions=top-102026.02 | 0.0357 | 22.16 | 0.5027 | |
| Average (all models)Segmentation Architecture=multiple, Salient Regions=top-102026.02 | 0.0455 | 36.91 | 0.6163 | |
| MCU-RESegmentation Architecture=MCU-RE, Salient Regions=top-102026.02 | 0.0621 | 70.41 | 0.742 | |
| U-KANSegmentation Architecture=U-KAN, Salient Regions=top-102026.02 | 0.0626 | 45.64 | 0.6228 | |
| HRNetSegmentation Architecture=HRNet, Salient Regions=top-102026.02 | 0.0638 | 35.12 | 0.8791 | |
| LightM-UNetSegmentation Architecture=LightM-UNet, Salient Regions=top-102026.02 | 0.0672 | 6.57 | 0.311 | |
| UNeXtSegmentation Architecture=UNeXt, Salient Regions=top-102026.02 | 0.0816 | 46.84 | 0.9554 | |
| TransUNetSegmentation Architecture=TransUNet, Salient Regions=top-102026.02 | 0.0902 | 20.59 | 0.7746 |