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Image Classification on CIFAR-10 (IND) + TinyImageNet (OOD)

94.08Test Accuracy (OOD)DivideMix
50.160861.562972.96584.3671Aug 25, 2021

Evaluation results

MethodLinks
DivideMix# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.0894.08
DivideMix# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.0893.83
NGC# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.0893.73
NGC# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.0893.54
ILON# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.0875.93
ILON# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.0874.63
ROG# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.0863.15
ROG# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.0861.69
CE# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.0852.32
CE# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.0851.85