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ResearchFormerly WizWand

Image Classification on CIFAR-10 (IND) + CIFAR-100 (OOD)

93.69Test AccuracyNGC
49.011660.610872.2183.8092Aug 25, 2021
Updated 8mo ago

Evaluation results

MethodLinks
NGC# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.0893.69
DivideMix# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.0892.73
NGC# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.0892.31
DivideMix# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.0892.26
ILON# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.0875.17
ILON# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.0874.85
ROG# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.0863.01
ROG# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.0862.56
CE# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.0853.36
CE# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.0850.73