List your company
ResearchFormerly WizWand

Image Classification on ImageNet V2 (Target)

66.1AccuracyNOAH
52.756856.220959.68563.1491Mar 10, 2022Nov 7, 2022Jul 7, 2023Mar 5, 2024Nov 2, 2024Jul 2, 2025Mar 1, 2026
Updated 8mo ago

Evaluation results

MethodLinks
NOAHShots per category=162022.0666.1
TAC2026.0365.97
MMRL2025.1265.43
RPOLearnable=true, shots=16 per class2023.0865.13
VaMP2025.1164.96
DeAR2026.0364.87
FARL2025.1264.83
MMRL++2025.0564.67
MMRL2025.0564.47
MMRL2025.1164.47
MMRL2026.0364.47
PromptSRC2025.0564.35
PromptSRC2025.1164.35
PromptSRC2026.0364.35
MMA2025.0564.33
MMA2025.1164.33
MMA2025.1264.33
CoOpLearnable=true, Number of training images per class=162022.0364.2
CoOp2022.1064.2
CoOpLearnable=true, shots=16 per class2023.0864.2
CoOp2025.0564.2
CoOp2025.1164.2
CoOp2026.0364.2
CoCoOpLearnable=true, Number of training images per class=162022.0364.07
Co-CoOp2022.1064.07
MaPLe2022.1064.07
CoCoOpLearnable=true, shots=16 per class2023.0864.07
Co-CoOp2025.0564.07
MaPLe2025.0564.07
CoOpOp2025.1164.07
MaPLe2025.1164.07
CoOp2025.1264.07
MaPLe2025.1264.07
MaPLe2026.0364.07
CLIPLearnable=false2022.0360.83
CLIP2022.1060.83
CLIPLearnable=false2023.0860.83
CLIP2025.0560.83
CLIP2025.1160.83
CLIP2025.1260.83
LoRAShots per category=162022.0659.3
AdapterShots per category=162022.0659.1
VPTShots per category=162022.0658
T-DHATraining Type=Training-free2025.1257.11
APETraining Type=Training-free2025.1255.94
Tip-AdapterTraining Type=Training-free2025.1254.6
CALIPTraining Type=Zero-shot2025.1253.7
CLIPTraining Type=Zero-shot2025.1253.27