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ResearchFormerly WizWand

Image Classification on ImageNet-R Target

78.83AccuracyDeAR
-2.9233618.3010739.525560.74993Mar 10, 2022Nov 18, 2022Jul 29, 2023Apr 7, 2024Dec 16, 2024Aug 26, 2025May 7, 2026
Updated 6mo ago

Evaluation results

MethodLinks
DeAR2026.0378.83
TAC2026.0378.5
PromptSRC + CAKI2026.0578.5
PromptSRCre-implemented=true2026.0578.1
VaMP2025.1178.01
PromptSRC2025.1177.8
PromptSRC2026.0377.8
MaPLe + CAKI2026.0577.6
MMRL2025.1177.53
MMRL2026.0377.53
MMA2025.1177.32
MMA2025.1277.32
FARL2025.1277.2
MaPLere-implemented=true2026.0577.2
MaPLe2022.1076.98
MaPLe2025.1176.98
MaPLe2025.1276.98
MaPLe2026.0376.98
MMRL2025.1276.63
RPOLearnable=true, shots=16 per class2023.0876.57
CoCoOp2026.0576.2
CoCoOpLearnable=true, Number of training images per class=162022.0376.18
Co-CoOp2022.1076.18
CoCoOpLearnable=true, shots=16 per class2023.0876.18
CoOpOp2025.1176.18
CoOp2025.1276.18
CoOpLearnable=true, Number of training images per class=162022.0375.21
CoOp2022.1075.21
CoOpLearnable=true, shots=16 per class2023.0875.21
CoOp2025.1175.21
CoOp2026.0375.21
CoOp2026.0575.2
CLIPLearnable=false2022.0373.96
CLIP2022.1073.96
CLIPLearnable=false2023.0873.96
CLIP2025.1173.96
CLIP2025.1273.96
NOAHShots per category=162022.060.285
LoRAShots per category=162022.060.233
VPTShots per category=162022.060.232
AdapterShots per category=162022.060.221