Attribution Analysis on HAM10000
0.1726SEG-GRADTransUNet
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| TransUNetSegmentation Architecture=TransUNet, Salient Regions=top-102026.02 | 0.1726 | 0.1817 | 0.4181 | |
| LightM-UNetSegmentation Architecture=LightM-UNet, Salient Regions=top-102026.02 | 0.1376 | 0.1265 | 0.2655 | |
| UNet++Segmentation Architecture=UNet++, Salient Regions=top-102026.02 | 0.1056 | 0.1164 | 0.3009 | |
| SegNetSegmentation Architecture=SegNet, Salient Regions=top-102026.02 | 0.0929 | 0.1546 | 0.4047 | |
| MCU-RESegmentation Architecture=MCU-RE, Salient Regions=top-102026.02 | 0.0907 | 0.1514 | 0.4048 | |
| Average (all models)Segmentation Architecture=multiple, Salient Regions=top-102026.02 | 0.0859 | 0.1532 | 0.3734 | |
| VM-UNetSegmentation Architecture=VM-UNet, Salient Regions=top-102026.02 | 0.0776 | 0.0676 | 0.2083 | |
| SegFormerSegmentation Architecture=SegFormer, Salient Regions=top-102026.02 | 0.0726 | 0.1271 | 0.2447 | |
| UNeXtSegmentation Architecture=UNeXt, Salient Regions=top-102026.02 | 0.0646 | 0.2161 | 0.599 | |
| HRNetSegmentation Architecture=HRNet, Salient Regions=top-102026.02 | 0.064 | 0.1424 | 0.3637 | |
| Swin-UnetSegmentation Architecture=Swin-Unet, Salient Regions=top-102026.02 | 0.0639 | 0.1536 | 0.3956 | |
| U-NetSegmentation Architecture=U-Net, Salient Regions=top-102026.02 | 0.0456 | 0.2115 | 0.5311 | |
| U-KANSegmentation Architecture=U-KAN, Salient Regions=top-102026.02 | 0.0433 | 0.1892 | 0.3443 |