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Image Classification on FGVC (test) Multi-Dataset Evaluation

47.61DTD AccuracyUSE
44.198845.084445.9746.8556Jul 4, 2026

Evaluation results

MethodLinks
USEOptim.=true, Backbone=ViT-B/162026.0747.6168.7894.524.3587.9468.6867.7243.3165.8984.7165.35
TPTOptim.=true, Backbone=ViT-B/162026.0747.0568.6494.0623.387.368.3866.5942.965.5184.6464.84
RLCFOptim.=true, Backbone=ViT-B/162026.0746.6967.5494.5622.2586.7467.4666.6643.465.1184.1864.46
SEOptim.=false, Backbone=ViT-B/162026.0746.4566.9194.3625.1387.8667.7567.8644.4465.0284.4465.02
R-TPTOptim.=true, Backbone=ViT-B/162026.0746.3668.2593.8123.7586.9467.5966.8535.0765.4584.2663.83
STSOptim.=true, Backbone=ViT-B/162026.0746.1965.8993.5724.7786.6466.8967.1438.3564.8883.0463.74
MTAOptim.=false, Backbone=ViT-B/162026.0746.0767.3494.224.6588.0567.7667.6142.3365.2684.464.77
TTLOptim.=true, Backbone=ViT-B/162026.0745.8666.2693.7524.4587.1667.0666.4739.2665.1783.963.93
TPSOptim.=true, Backbone=ViT-B/162026.0745.6667.329424.7187.567.3767.6942.664.6484.4564.59
ZEROOptim.=false, Backbone=ViT-B/162026.0745.3666.9193.8724.7287.3366.667.2737.1965.5183.863.86
C-TPTOptim.=true, Backbone=ViT-B/162026.0745.0969.6593.6924.0588.265.0365.8142.4464.4683.1464.16
CLIPOptim.=false, Backbone=ViT-B/162026.0744.3367.3293.9523.8588.265.1965.5642.0562.5883.6663.67