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ResearchFormerly WizWand

Image Classification on CIFAR-10-LT Ratio 100 (test)

0.824Balanced AccuracyCVS+ADRW
0.710640.740070.76950.79893Oct 7, 2023
Updated 8mo ago

Evaluation results

MethodLinks
CVS+ADRWProtocol=standard + tuned wd, Backbone=ResNet2023.100.824
CVSProtocol=standard + tuned wd, Backbone=ResNet2023.100.822
VSProtocol=standard + tuned wd, Backbone=ResNet2023.100.816
VS+TLA+ADRWProtocol=standard + tuned wd, Backbone=ResNet2023.100.816
CVS+ADRWProtocol=standard, Backbone=ResNet2023.100.815
CVSProtocol=standard, Backbone=ResNet2023.100.813
VS+TLA+ADRWProtocol=standard, Backbone=ResNet2023.100.811
CE+ADRWProtocol=standard + tuned wd, Backbone=ResNet2023.100.805
VS+DRWProtocol=standard, Backbone=ResNet2023.100.801
LDAM+DRWProtocol=standard + tuned wd, Backbone=ResNet2023.100.798
VSProtocol=standard, Backbone=ResNet2023.100.788
CE+ADRWProtocol=standard, Backbone=ResNet2023.100.786
LDAM+DRWProtocol=standard, Backbone=ResNet2023.100.777
CE+DRWProtocol=standard, Backbone=ResNet2023.100.758
LDAMProtocol=standard, Backbone=ResNet2023.100.738
CEProtocol=standard + tuned wd, Backbone=ResNet2023.100.734
CEProtocol=standard, Backbone=ResNet2023.100.715