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Image Classification on ImageNet V

70.6AccuracyMVT + FT
28.89639.72350.5561.377Dec 29, 2025Jan 5, 2026Jan 13, 2026Jan 20, 2026Jan 28, 2026Feb 4, 2026Feb 12, 2026

Evaluation results

MethodLinks
MVT + FTArch=ViT-g2025.1270.6—
MVT + FTMLLM=MMICL, Backbone=ViT-L2025.1268.8—
MVTMLLM=MMICL, Backbone=CLIP ViT-L, Fine-tuned=true2025.1268.8—
MVT + FTArch=ViT-L2025.1268.8—
MVTArch=ViT-g2025.1266.3—
ADTEStream Type=Randomized interleaved2026.0265.6—
Vanilla FTArch=ViT-g2025.1265.6—
ADTE_randomStream Type=Randomized interleaved, Variant=random2026.0265.4—
EVAArch=ViT-g2025.1264.9—
MVTMLLM=MMICL, Backbone=ViT-L2025.1262.1—
MVTMLLM=MMICL, Backbone=CLIP ViT-L2025.1262.1—
MVTArch=ViT-L2025.1262.1—
VQAArch=ViT-g2025.1259.2—
VQAArch=ViT-L2025.1256.2—
MVT + FTMLLM=Otter, Backbone=ViT-L2025.1255.7—
MVTMLLM=Otter, Backbone=CLIP ViT-L, Fine-tuned=true2025.1255.7—
MVTArch=ResNet-50, Supervisor=MMICL [280]2025.1254.1—
Vanilla FTArch=ViT-L2025.1253.6—
MVTArch=ViT-B/32, Supervisor=MMICL [280]2025.1253.1—
MVTMLLM=Otter, Backbone=ViT-L2025.1251.9—
MVTMLLM=Otter, Backbone=CLIP ViT-L2025.1251.9—
CLIPMLLM=None, Backbone=ViT-L2025.1251.8—
CLIPMLLM=None, Backbone=CLIP ViT-L2025.1251.8—
CLIPArch=ViT-L2025.1251.8—
MVTArch=ResNet-50, Fine-tuning=true, Supervisor=MMICL [280]2025.1238.2—
MVTArch=ViT-B/32, Fine-tuning=true, Supervisor=MMICL [280]2025.1237.6—
CLIPArch=RN1012025.1235.4—
CLIPArch=ResNet-502025.1231.1—
CLIPArch=RN502025.1231.1—
CLIPArch=ViT-B/322025.1230.5—
CLIPArch=ViT-B2025.1230.5—
C-TPT2026.02—62.6
CLIP2026.02—60.84
Fair Context Learning2026.02—64.23
MTA2026.02—63.6
R-TPT2026.02—63.98
RLCF2026.02—63.02
TPS2026.02—63.68
TPT2026.02—63.38
TTL2026.02—64.36
ZERO2026.02—64.16