Attribution Sensitivity Analysis on ImgNet 2012 (val)
61.329Sensitivity ScoreGrad-CAM FFT
Evaluation Results
| Method | Links | |
|---|---|---|
| Grad-CAM FFTBackbone=ViT_B/322024.11 | 61.329 | |
| Grad-CAM FFTBackbone=ResNet502024.11 | 8.822 | |
| Grad-CAM SpatialBackbone=ViT_B/322024.11 | 1.308 | |
| Input-Grad SpatialBackbone=ViT_B/322024.11 | 1.259 | |
| Input-Grad SpatialBackbone=ResNet502024.11 | 1.25 | |
| IG SpatialBackbone=ResNet502024.11 | 1.232 | |
| IG SpatialBackbone=ViT_B/322024.11 | 0.907 | |
| Input-Grad FFTBackbone=ViT_B/322024.11 | 0.842 | |
| Grad-CAM SpatialBackbone=ResNet502024.11 | 0.825 | |
| Smooth-Grad SpatialBackbone=ResNet502024.11 | 0.723 | |
| Input-Grad FFTBackbone=ResNet502024.11 | 0.691 | |
| IG FFTBackbone=ResNet502024.11 | 0.666 | |
| IG IFFTBackbone=ResNet502024.11 | 0.666 | |
| IG FFTBackbone=ViT_B/322024.11 | 0.608 | |
| IG IFFTBackbone=ViT_B/322024.11 | 0.608 | |
| Input-Grad IFFTBackbone=ResNet502024.11 | 0.479 | |
| Smooth-Grad SpatialBackbone=ViT_B/322024.11 | 0.457 | |
| Smooth-Grad FFTBackbone=ResNet502024.11 | 0.415 | |
| Grad-CAM IFFTBackbone=ResNet502024.11 | 0.332 | |
| Input-Grad IFFTBackbone=ViT_B/322024.11 | 0.322 | |
| Smooth-Grad FFTBackbone=ViT_B/322024.11 | 0.316 | |
| Full-Grad SpatialBackbone=ResNet502024.11 | 0.257 | |
| Grad-CAM IFFTBackbone=ViT_B/322024.11 | 0.254 | |
| Full-Grad FFTBackbone=ResNet502024.11 | 0.186 | |
| Full-Grad IFFTBackbone=ResNet502024.11 | 0.186 | |
| FFCBackbone=ResNet502024.11 | 0.122 | |
| FFCBackbone=ViT_B/322024.11 | 0.0852 | |
| Smooth-Grad IFFTBackbone=ResNet502024.11 | 0.0706 | |
| Smooth-Grad IFFTBackbone=ViT_B/322024.11 | 0.0549 |