Image Classification on CIFAR-100 (IND) + TinyImageNet (OOD)
0.7457Accuracy (Test)NGC
Evaluation Results
| Method | Links | |
|---|---|---|
| NGC# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 0.7457 | |
| NGC# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 0.7349 | |
| DivideMix# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 0.7038 | |
| DivideMix# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 0.6989 | |
| ROG# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 0.5265 | |
| ILON# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 0.5143 | |
| ROG# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 0.504 | |
| ILON# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 0.5014 | |
| CE# OOD samples=10k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 0.3701 | |
| CE# OOD samples=20k, IND noise ratio=50%, IND noise type=symmetric2021.08 | 0.3455 |