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ResearchFormerly WizWand

Attribution Sensitivity Analysis on ImgNet 2012 (val)

61.329Sensitivity ScoreGrad-CAM FFT
-2.39606614.14794130.69194947.235957Nov 27, 2024
Updated 5mo ago

Evaluation results

MethodLinks
Grad-CAM FFTBackbone=ViT_B/322024.1161.329
Grad-CAM FFTBackbone=ResNet502024.118.822
Grad-CAM SpatialBackbone=ViT_B/322024.111.308
Input-Grad SpatialBackbone=ViT_B/322024.111.259
Input-Grad SpatialBackbone=ResNet502024.111.25
IG SpatialBackbone=ResNet502024.111.232
IG SpatialBackbone=ViT_B/322024.110.907
Input-Grad FFTBackbone=ViT_B/322024.110.842
Grad-CAM SpatialBackbone=ResNet502024.110.825
Smooth-Grad SpatialBackbone=ResNet502024.110.723
Input-Grad FFTBackbone=ResNet502024.110.691
IG FFTBackbone=ResNet502024.110.666
IG IFFTBackbone=ResNet502024.110.666
IG FFTBackbone=ViT_B/322024.110.608
IG IFFTBackbone=ViT_B/322024.110.608
Input-Grad IFFTBackbone=ResNet502024.110.479
Smooth-Grad SpatialBackbone=ViT_B/322024.110.457
Smooth-Grad FFTBackbone=ResNet502024.110.415
Grad-CAM IFFTBackbone=ResNet502024.110.332
Input-Grad IFFTBackbone=ViT_B/322024.110.322
Smooth-Grad FFTBackbone=ViT_B/322024.110.316
Full-Grad SpatialBackbone=ResNet502024.110.257
Grad-CAM IFFTBackbone=ViT_B/322024.110.254
Full-Grad FFTBackbone=ResNet502024.110.186
Full-Grad IFFTBackbone=ResNet502024.110.186
FFCBackbone=ResNet502024.110.122
FFCBackbone=ViT_B/322024.110.0852
Smooth-Grad IFFTBackbone=ResNet502024.110.0706
Smooth-Grad IFFTBackbone=ViT_B/322024.110.0549