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Image Classification on ImageNet Distribution Shifts IN-R IN-A IN-S V2

85.3ImageNet AccuracySAE Add
78.22880.06481.983.736May 15, 2026

Evaluation results

MethodLinks
SAE AddBackbone=SigLIP2 ViT-B/162026.0585.390.256.268.677.173
WiSE-FTBackbone=SigLIP2 ViT-B/162026.0584.889.556.268.976.572.8
FTBackbone=SigLIP2 ViT-B/162026.0582.875.137.457.272.360.5
Zero-shotBackbone=SigLIP2 ViT-B/162026.0578.591.755.268.971.371.8