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Partial-Label Image Classification on CIFAR-100

75.31AccuracyILL
27.428439.859252.2964.7208May 22, 2023

Evaluation results

MethodLinks
ILLPartial Ratio q=0.01, Backbone=ResNet-182023.0575.31————
ILLPartial Ratio q=0.05, Backbone=ResNet-182023.0574.58————
ILLPartial Ratio q=0.1, Backbone=ResNet-182023.0574————
Fully-SupervisedSupervision Type=Fully-Supervised, Backbone=ResNet-182023.0573.56————
PiCOPartial Ratio q=0.01, Backbone=ResNet-182023.0573.09————
PiCOPartial Ratio q=0.05, Backbone=ResNet-182023.0572.74————
PiCOPartial Ratio q=0.1, Backbone=ResNet-182023.0569.91————
LWSPartial Ratio q=0.01, Backbone=ResNet-182023.0565.78————
PRODENPartial Ratio q=0.01, Backbone=ResNet-182023.0562.6————
PRODENPartial Ratio q=0.05, Backbone=ResNet-182023.0560.73————
LWSPartial Ratio q=0.05, Backbone=ResNet-182023.0559.56————
PRODENPartial Ratio q=0.1, Backbone=ResNet-182023.0556.8————
LWSPartial Ratio q=0.1, Backbone=ResNet-182023.0553.53————
CCPartial Ratio q=0.01, Backbone=ResNet-182023.0549.76————
MSEPartial Ratio q=0.01, Backbone=ResNet-182023.0549.17————
CCPartial Ratio q=0.05, Backbone=ResNet-182023.0547.62————
MSEPartial Ratio q=0.05, Backbone=ResNet-182023.0546.02————
EXPPartial Ratio q=0.01, Backbone=ResNet-182023.0544.45————
MSEPartial Ratio q=0.1, Backbone=ResNet-182023.0543.81————
EXPPartial Ratio q=0.05, Backbone=ResNet-182023.0541.05————
CCPartial Ratio q=0.1, Backbone=ResNet-182023.0535.72————
EXPPartial Ratio q=0.1, Backbone=ResNet-182023.0529.27————
PRODENClassifier=ResNet-322022.02—48.0646.4947.0746.3
PRODEN + OursClassifier=ResNet-322022.02—61.2259.1760.2554.64