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ResearchFormerly WizWand

Image Classification on Average Zero-shot (8 datasets)

71.48Clean Accuracy AvgVanilla FT
48.256854.285960.31566.3441Mar 28, 2026
Updated 7mo ago

Evaluation results

MethodLinks
Vanilla FTBackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0371.480
GRACEBackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0371.4841.39
Vanilla FTBackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0371.480
GRACEBackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0371.4841.39
TPGMBackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0370.550
TPGMBackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0370.550
SPDBackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0370.060
SPDBackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0370.060
FLYPBackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0369.910
FLYPBackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0369.910
WISE-FTBackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0368.680
WISE-FTBackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0368.680
CLIPBackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0364.920.13
CLIPBackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0364.920.13
FAREBackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0359.6623.04
FAREBackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0359.6623.04
PMG-AFTBackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0353.3738.51
PMG-AFTBackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0353.3738.51
LAATBackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0351.5536.65
LAATBackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0351.5536.65
TeCoABackbone=ViT-B/16, Training=ImageNet, Evaluation=Zero-shot2026.0349.1535.13
TeCoABackbone=ViT-B/16, Adversarial Perturbation Strength (ϵ)=4/2552026.0349.1535.13