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ResearchFormerly WizWand

Image Classification on CIFAR-100N 1.0 (test)

62.34Accuracy (Noisy)GNL - p(X,Y)
51.118454.031756.94559.8583Aug 2, 2023
Updated 8mo ago

Evaluation results

MethodLinks
GNL - p(X,Y)Backbone=ResNet-34, Classifier Type=single classifier2023.0862.34
CALBackbone=ResNet-34, Classifier Type=single classifier2023.0861.73
CORES^2Backbone=ResNet-34, Classifier Type=single classifier2023.0861.15
GNL - p(Y|X)Backbone=ResNet-34, Classifier Type=single classifier2023.0859.03
Negative-LSBackbone=ResNet-34, Classifier Type=single classifier2023.0858.59
VolMinNetBackbone=ResNet-34, Classifier Type=single classifier2023.0857.8
Peer LossBackbone=ResNet-34, Classifier Type=single classifier2023.0857.59
F-DivBackbone=ResNet-34, Classifier Type=single classifier2023.0857.1
Forward TBackbone=ResNet-34, Classifier Type=single classifier2023.0857.01
Positive-LSBackbone=ResNet-34, Classifier Type=single classifier2023.0855.84
CEBackbone=ResNet-34, Classifier Type=single classifier2023.0855.5
T-RevisionBackbone=ResNet-34, Classifier Type=single classifier2023.0851.55