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Global-shape recognition on Shape-Biased Stimuli modified ImageNet (val)

10.8Accuracy DifferenceCLIP
9.66417.3322532.668Oct 12, 2022

Evaluation results

MethodLinks
CLIPPre-training source=Image, Evaluation protocol=Linear probing2022.1010.861.248.2
VITOPre-training source=Video, Evaluation protocol=Linear probing2022.1015.756.442.2
L2-RobustPre-training source=Image, Evaluation protocol=Linear probing2022.1017.854.438.9
MoCLRPre-training source=Image, Evaluation protocol=Linear probing2022.101953.633.5
SIN+IN1KPre-training source=Image, Evaluation protocol=Linear probing2022.1020.352.733
VINCEPre-training source=Video, Evaluation protocol=Linear probing2022.102150.126.9
SupervisedPre-training source=Image, Evaluation protocol=Linear probing2022.1021.551.132.9
DINOPre-training source=Image, Evaluation protocol=Linear probing2022.1023.650.429.1
CycleConPre-training source=Video, Evaluation protocol=Linear probing2022.1023.748.425.8
R3MPre-training source=Video, Evaluation protocol=Linear probing2022.1039.235.95.4