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ResearchFormerly WizWand

Image Classification on CIFAR-10-C (Feature Shift)

75.37AccuracyATP-online
43.452451.738760.02568.3113Oct 28, 2023
Updated 8mo ago

Evaluation results

MethodLinks
ATP-onlineBackbone=ResNet-18, Adaptation Type=Online2023.1075.37
ATP-onlineBackbone=ResNet-18, Adaptation Type=Online2023.1074.06
ATP-batchBackbone=ResNet-18, Adaptation Type=Batch2023.1073.68
BN-AdaptBackbone=ResNet-182023.1073.52
ATP-batchBackbone=ResNet-18, Adaptation Type=Batch2023.1073.05
MEMOBackbone=ResNet-182023.1072.43
SHOTBackbone=ResNet-182023.1071.76
TentBackbone=ResNet-182023.1071.76
SurgicalBackbone=ResNet-182023.1069.85
EMBackbone=ResNet-182023.1069.85
T3ABackbone=ResNet-182023.1069.53
No adaptationBackbone=ResNet-182023.1069.42
MEMOBackbone=ResNet-182023.1068.07
BBSEBackbone=ResNet-182023.1067.96
SurgicalBackbone=ResNet-182023.1066.94
EMBackbone=ResNet-182023.1065.18
BBSEBackbone=ResNet-182023.1063.98
No adaptationBackbone=ResNet-182023.1063.68
T3ABackbone=ResNet-182023.1062.17
BN-AdaptBackbone=ResNet-182023.1050.42
TentBackbone=ResNet-182023.1046.05
SHOTBackbone=ResNet-182023.1044.68