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Feature Attribution on ImageNet 1000 samples

57.44Insertion ScoreFAMPE
3.661617.623331.58545.5467Sep 25, 2025

Evaluation results

MethodLinks
FAMPEArchitecture=MaxViT-T, Alpha selection strategy=per-sample best α2025.0957.4410.15
FAMPEArchitecture=MaxViT-T, Alpha selection strategy=fixed α = 0.12025.0952.114.8
FAMPEArchitecture=Inception-v3, Alpha selection strategy=per-sample best α2025.0948.025.95
AGIArchitecture=MaxViT-T2025.0947.9221.84
AttEXploreArchitecture=MaxViT-T2025.0946.517.53
FAMPEArchitecture=Inception-v3, Alpha selection strategy=fixed α = 0.12025.0943.8810.15
AttEXploreArchitecture=Inception-v32025.0942.099.99
AGIArchitecture=Inception-v32025.0941.436.53
FAMPEArchitecture=ResNet-50, Alpha selection strategy=per-sample best α2025.0939.029.53
AGIArchitecture=ResNet-502025.0935.725.43
AttEXploreArchitecture=ResNet-502025.0934.9112.56
FAMPEArchitecture=VGG-16, Alpha selection strategy=per-sample best α2025.0932.898.29
IGArchitecture=MaxViT-T2025.0930.4423.46
FAMPEArchitecture=ResNet-50, Alpha selection strategy=fixed α = 0.12025.0929.7814.4
AGIArchitecture=VGG-162025.0929.354.31
AttEXploreArchitecture=VGG-162025.0928.819.62
GIGArchitecture=MaxViT-T2025.0928.3720.91
DeepLiftArchitecture=MaxViT-T2025.0925.6324.13
FAMPEArchitecture=VGG-16, Alpha selection strategy=fixed α = 0.12025.0922.4913.46
GIGArchitecture=Inception-v32025.0918.213.13
IGArchitecture=Inception-v32025.0916.773.69
DeepLiftArchitecture=Inception-v32025.0915.435.05
GIGArchitecture=ResNet-502025.099.071.92
IGArchitecture=ResNet-502025.098.582.65
DeepLiftArchitecture=ResNet-502025.098.462.96
GIGArchitecture=VGG-162025.096.412.53
DeepLiftArchitecture=VGG-162025.096.122.95
IGArchitecture=VGG-162025.095.732.94