List your company

Image Classification on ImageNet and OOD variants

69.72Accuracy (ImageNet)USE
57.70860.826563.94567.0635Jul 4, 2026

Evaluation results

MethodLinks
USEBackbone=ViT-B/16, Optimization=true2026.0769.7259.7964.677.8948.9164.1862.8
TTLBackbone=ViT-B/16, Optimization=true2026.0769.3258.8464.2877.6648.7363.7762.38
ZEROBackbone=ViT-B/16, Optimization=false2026.0769.3159.7964.277.2848.4163.862.42
R-TPTBackbone=ViT-B/16, Optimization=true2026.0769.3157.6163.9876.947.763.161.55
MTABackbone=ViT-B/16, Optimization=false2026.0769.2657.163.6376.9648.4563.0861.54
SEBackbone=ViT-B/16, Optimization=false2026.0769.1559.1564.177.3448.5363.6562.28
TPTBackbone=ViT-B/16, Optimization=true2026.0768.9254.5963.4577.0647.8462.3760.74
TPSBackbone=ViT-B/16, Optimization=true2026.0768.8257.9363.4576.9548.0663.0461.6
STSBackbone=ViT-B/16, Optimization=true2026.0768.7761.3764.277.0248.0963.8962.67
RLCFBackbone=ViT-B/16, Optimization=true2026.0768.5557.4863.4277.148.0762.9261.52
C-TPTBackbone=ViT-B/16, Optimization=true2026.0768.4551.1562.6675.7847.4261.0959.25
CLIPBackbone=ViT-B/16, Optimization=false2026.0766.7247.8360.9473.9946.159.1257.22
USEOptim.=true, Backbone=ResNet502026.0761.1230.7155.1659.2335.8448.4145.24
R-TPTOptim.=true, Backbone=ResNet502026.0760.7628.1154.6457.734.0547.0543.63
TPTOptim.=true, Backbone=ResNet502026.0760.6326.5154.6459.0335.1447.1943.83
C-TPTOptim.=true, Backbone=ResNet502026.0760.4724.2754.2157.7334.7246.2842.73
MTAOptim.=false, Backbone=ResNet502026.0760.4327.6354.4358.4935.3147.2643.97
SEOptim.=false, Backbone=ResNet502026.0760.3930.1954.358.6435.4847.844.65
ZEROOptim.=false, Backbone=ResNet502026.0760.293054.5957.834.7747.4944.29
RLCFOptim.=true, Backbone=ResNet502026.0760.1428.5654.2258.5635.1347.3244.12
TPSOptim.=true, Backbone=ResNet502026.0759.9328.3253.9158.3234.9547.0943.88
STSOptim.=true, Backbone=ResNet502026.0759.6932.1553.8857.5134.6947.5844.56
CLIPOptim.=false, Backbone=ResNet502026.0758.1721.8751.4556.1233.3544.1940.7