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Fine-grained Image Classification on CU-Tree102

86.65AccuracyCGL + Ours
67.524472.489777.45582.4203Jan 23, 2026

Evaluation results

MethodLinks
CGL + OursParams (M)=128.272026.0186.6579.8377.3577.8786.3186.6586.17
HERBS + OursParams (M)=161.732026.0185.6178.2976.1176.4485.2285.6185.06
Swin-Base + OursParams (M)=109.452026.0183.4475.8372.8673.3682.7883.4482.68
MPSA + OursParams (M)=97.342026.0183.3170.4474.4570.418783.3184.67
HERBSParams (M)=161.652026.0182.9874.0570.9171.2681.9882.9881.9
Expert-FTParams (M)=303.772026.0181.6174.4370.270.9381.2881.6180.87
CGLParams (M)=128.192026.0181.4772.1470.3770.3481.3281.4781.03
MPSAParams (M)=97.262026.0180.8465.0765.563.887.2180.8483.32
Swin-BaseParams (M)=109.372026.0179.3369.6267.7267.7878.7679.3378.64
ViT-Base + OursParams (M)=86.222026.0178.0769.8365.8166.677.478.0777.2
ResNet-50 + OursParams (M)=23.82026.0177.9669.8166.7367.2577.8877.9677.42
ViT-BaseParams (M)=86.142026.0173.364.1160.6761.1573.1173.372.65
ResNet-50Params (M)=23.722026.0168.2655.2853.4353.3366.9968.2666.98