Robust Image Classification on CIFAR-10 (test) (Uniform Noise)
92.95Accuracy (0% Noise)MWNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MWNet2021.10 | 92.95 | 86.46 | 81.14 | |
| GDW2021.10 | 92.94 | 88.14 | 84.11 | |
| Fine-tuning2021.10 | 92.77 | 84.73 | 78.41 | |
| BaseModel2021.10 | 92.73 | 84.38 | 77.92 | |
| INSW2021.10 | 92.7 | 84.88 | 78.77 | |
| Soft-label2021.10 | 92.63 | 86.52 | 80.94 | |
| Gen-label2021.10 | 92.56 | 84.68 | 78.32 | |
| Co-teaching2021.10 | 91.54 | 85.26 | 78.9 | |
| GLC2021.10 | 90.85 | 86.12 | 81.55 | |
| L2RW2021.10 | 89.7 | 84.66 | 79.98 |