Image Classification on CIFAR-10 (IND) + CIFAR-100 (OOD)
93.69Test AccuracyNGC
Evaluation Results
| Method | Links | |
|---|---|---|
| NGC# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 93.69 | |
| DivideMix# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 92.73 | |
| NGC# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 92.31 | |
| DivideMix# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 92.26 | |
| ILON# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 75.17 | |
| ILON# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 74.85 | |
| ROG# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 63.01 | |
| ROG# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 62.56 | |
| CE# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 53.36 | |
| CE# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 50.73 |