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Image Classification on CUB-200 1.0 (test)

73.8Average AccuracyFull Dataset
4048.77557.5566.325Jun 2, 2025Jul 13, 2025Aug 23, 2025Oct 4, 2025Nov 14, 2025Dec 25, 2025Feb 5, 2026

Evaluation results

MethodLinks
Full DatasetTrain Set=Full2026.0273.877.590.28443.7
Ours (SFM+CI)Train Set=1 Img/Cls2026.0269.968.488.179.743.3
Ours (SFM)Train Set=1 Img/Cls2026.0266.867.685.772.541.4
LGMTrain Set=1 Img/Cls2026.0266.262.28674.142.5
CentroidsTrain Set=1 Img/Cls2026.0255.754.378.559.930.2
Diff-TPTBackbone=ViT-B/32, Test-time Prompt Tuning=true2025.0652.8————
Neighbors (SFM)Train Set=1 Img/Cls2026.0252.747.378.75628.7
VS2Backbone=ViT-B/322025.0652.69————
C-TPTBackbone=ViT-B/32, Test-time Prompt Tuning=true2025.0652.54————
VS2Backbone=ViT-B/32, Ensemble=true2025.0652.47————
TPTBackbone=ViT-B/32, Test-time Prompt Tuning=true2025.0651.83————
CLIPBackbone=ViT-B/32, Protocol=Zero-shot2025.0651.76————
CLIPBackbone=ViT-B/32, Ensemble=true2025.0651.54————
VS2Backbone=ViT-B/32, Ensemble=true, Test-time Augmentation=true2025.0651.54————
Neighbors (LGM)Train Set=1 Img/Cls2026.0249.239.476.952.628.1
RandomTrain Set=1 Img/Cls2026.0241.337.564.444.319.1