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Image Classification on 11 Natural Datasets (Transductive Setting)

77.8Average AccuracySOTA (CLIP-1+DINO(v2+v3))
55.23261.09166.9572.809Jun 16, 2025

Evaluation results

MethodLinks
SOTA (CLIP-1+DINO(v2+v3))Visual Encoders=CLIP-1, DINOv2, and DINOv32025.0677.879.972.83487.278.59095.384.596.655.981.1
SOTA (CLIP-1+DINOv3)Visual Encoders=CLIP-1 and DINOv32025.0677.478.772.63386.479.690.195.184.295.956.879.2
SOTA (CLIP-1+DINOv2)Visual Encoders=CLIP-1 and DINOv22025.0675.777.771.92884.473.98994.583.996.152.880.3
GTA-CLIPSetting=Transductive2025.0674.571.973.529.376.472.187.493.482.195.558.579.1
SOTA (CLIP-1+CLIP-2)Visual Encoders=CLIP-1 (ViT-B/16) and CLIP-2 (RN50)2025.0672.569.970.222.682.969.98692.475.192.95679.4
ADAPTSetting=Transductive2025.0672.471.672.330.865.971.385.192.680.195.556.973.9
ECALPSetting=Transductive2025.0670.571.370.429.556.568.285.792.37694.456.375.4
TransCLIP-2Setting=Transductive2025.0670.370.468.926.966.169.587.192.576.592.748.674.1
Stat.ASetting=Transductive2025.0669.969.968.724.767.36887.192.475.294.248.473.5
GDASetting=Transductive2025.0667.667.363.925.559.56786.490.87493.845.370.3
ZLaPSetting=Transductive2025.0667.569.767.826.357.766.887.287.967.991.84673.8
CLIP-1Visual Encoder=ViT-B/162025.0665.266.662.524.748.365.685.989.170.793.243.567.5
CLIP-2Visual Encoder=RN502025.0656.158.258.815.723.755.77483.661.885.940.458.8