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Partial-Label Image Classification on CIFAR-10

96.37AccuracyILL
65.918873.824481.7389.6356May 22, 2023

Evaluation results

MethodLinks
ILLPartial Ratio q=0.1, Backbone=ResNet-182023.0596.37————
ILLPartial Ratio q=0.3, Backbone=ResNet-182023.0596.26————
ILLPartial Ratio q=0.5, Backbone=ResNet-182023.0595.91————
Fully-SupervisedSupervision Type=Fully-Supervised, Backbone=ResNet-182023.0594.91————
PiCOPartial Ratio q=0.1, Backbone=ResNet-182023.0594.39————
PiCOPartial Ratio q=0.3, Backbone=ResNet-182023.0594.18————
PiCOPartial Ratio q=0.5, Backbone=ResNet-182023.0593.58————
LWSPartial Ratio q=0.1, Backbone=ResNet-182023.0590.3————
PRODENPartial Ratio q=0.1, Backbone=ResNet-182023.0590.24————
PRODENPartial Ratio q=0.3, Backbone=ResNet-182023.0589.38————
LWSPartial Ratio q=0.3, Backbone=ResNet-182023.0588.99————
PRODENPartial Ratio q=0.5, Backbone=ResNet-182023.0587.78————
LWSPartial Ratio q=0.5, Backbone=ResNet-182023.0586.16————
CCPartial Ratio q=0.1, Backbone=ResNet-182023.0582.3————
MSEPartial Ratio q=0.1, Backbone=ResNet-182023.0579.97————
EXPPartial Ratio q=0.1, Backbone=ResNet-182023.0579.23————
CCPartial Ratio q=0.3, Backbone=ResNet-182023.0579.08————
EXPPartial Ratio q=0.3, Backbone=ResNet-182023.0575.79————
MSEPartial Ratio q=0.3, Backbone=ResNet-182023.0575.65————
CCPartial Ratio q=0.5, Backbone=ResNet-182023.0574.05————
EXPPartial Ratio q=0.5, Backbone=ResNet-182023.0570.34————
MSEPartial Ratio q=0.5, Backbone=ResNet-182023.0567.09————
PRODENClassifier=ResNet-322022.02—82.0981.780.7276.24
PRODEN + OursClassifier=ResNet-322022.02—89.7788.0186.0480.57