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Image Classification on StanfordCars (test)

85.9Base AccuracyAPP
62.468868.551974.63580.7181Aug 29, 2023Jan 11, 2024May 26, 2024Oct 9, 2024Feb 22, 2025Jul 8, 2025Nov 21, 2025

Evaluation results

MethodLinks
APP2025.1185.969.576.8
MMRL*re-run=true2025.1181.237577.99
MMRL* + ReBaPLre-run=true, distance metric=Wasserstein distance2025.1181.275.3778.17
CLIP+LPShots=16, Evaluation Protocol=Linear Probing2023.0878.665.571.45
CoOpShots=162023.0878.1260.468.13
CoOpShots=162024.0278.1260.468.13
CoOp2025.1178.1260.468.13
PromptSRC*re-run=true2025.1177.9375.576.7
MaPLe* + ReBaPLre-run=true, distance metric=MMD2025.1174.7374.5774.65
RPOShots=162023.0873.8775.5374.69
BPLShots=162024.0273.23——
Any-shift PromptingShots=162024.0273.0575.8374.41
MaPLeShots=162024.0272.947473.47
MaPLe*re-run=true2025.1172.4574.973.65
CoCoOpShots=162023.0870.4973.5972.01
CoCoOpShots=162024.0270.4973.5972.01
CoCoOp2025.1170.4973.5972.01
CLIPEvaluation Protocol=Zero-shot2023.0863.3774.8968.65
CLIPShots=162024.0263.3774.8968.65
CLIP2025.1163.3774.8968.65