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ResearchFormerly WizWand

Image Classification on Tiny-ImageNet-C (test)

85.79Accuracy (Dogs)DRAUC-Df
75.577278.228680.8883.5314Nov 6, 2023
Updated 8mo ago

Evaluation results

MethodLinks
DRAUC-DfModel=ResNet322023.1185.798888.32
DRAUC-DaModel=ResNet322023.1184.5687.688.46
ADVShiftModel=ResNet322023.1184.384.5686.43
DRAUC-DfModel=ResNet202023.1184.1187.388.67
DRAUC-DaModel=ResNet202023.1183.9687.6189.06
CEModel=ResNet322023.1182.5584.6486.26
WDROModel=ResNet202023.1182.285.2385.92
GLOTModel=ResNet202023.1181.9685.8986.8
GLOTModel=ResNet322023.1181.783.0988.24
ADVShiftModel=ResNet202023.1181.280.9486.65
DROLTModel=ResNet202023.1180.4486.9186.76
WDROModel=ResNet322023.1180.0885.5886.94
DROLTModel=ResNet322023.1179.2585.7586.79
CEModel=ResNet202023.1178.4685.1987.53
FocalLossModel=ResNet202023.1178.3481.4886.55
AUCDROModel=ResNet322023.1178.2180.5585.26
FocalLossModel=ResNet322023.1177.9679.885.33
AUCMLossModel=ResNet202023.1177.3585.9882.37
AUCMLossModel=ResNet322023.1177.2579.881.12
AUCDROModel=ResNet202023.1175.9783.2679.46