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ResearchFormerly WizWand

Image Classification on Clean ViT-B/16 (test)

93.2AccuracyRegMean++
77.80881.80485.889.796Aug 5, 2025
Updated 6mo ago

Evaluation results

MethodLinks
RegMean++Backbone=ViT-B/16, Method Category=Training-Free Methods2025.0893.2
DOGE AMBackbone=ViT-B/16, Method Category=Test-Time Adaptation2025.0893.1
RegMeanBackbone=ViT-B/16, Method Category=Training-Free Methods2025.0892.6
TSV-MBackbone=ViT-B/16, Method Category=Data-Free Methods2025.0892.3
Layer-wise AdaMergingBackbone=ViT-B/16, Method Category=Test-Time Adaptation2025.0890.9
Iso-CTSBackbone=ViT-B/16, Method Category=Data-Free Methods2025.0890.7
DOGE TABackbone=ViT-B/16, Method Category=Data-Free Methods2025.0890.5
Iso-CBackbone=ViT-B/16, Method Category=Data-Free Methods2025.0890.3
Task ArithmeticBackbone=ViT-B/16, Method Category=Data-Free Methods2025.0884
Model SoupsBackbone=ViT-B/16, Method Category=Data-Free Methods2025.0881.9
Fisher MergingBackbone=ViT-B/16, Method Category=Training-Free Methods2025.0881.4
TIES-MergingBackbone=ViT-B/16, Method Category=Data-Free Methods2025.0878.4