Image Classification on CIFAR-10 (IND) + TinyImageNet (OOD)
94.08Test Accuracy (OOD)DivideMix
Evaluation Results
| Method | Links | |
|---|---|---|
| DivideMix# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 94.08 | |
| DivideMix# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 93.83 | |
| NGC# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 93.73 | |
| NGC# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 93.54 | |
| ILON# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 75.93 | |
| ILON# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 74.63 | |
| ROG# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 63.15 | |
| ROG# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 61.69 | |
| CE# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 52.32 | |
| CE# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 51.85 |