Data Augmentation On Cifar 10
Métriques
Percentage error
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Percentage error | Paper Title | Repository |
|---|---|---|---|
| Shake-Shake (26 2×96d) (Faster AA) | 2 | Faster AutoAugment: Learning Augmentation Strategies using Backpropagation | - |
| WideResNet-40-2 (Faster AA) | 3.7 | Faster AutoAugment: Learning Augmentation Strategies using Backpropagation | - |
| Shake-Shake (26 2×32d) (Faster AA) | 2.7 | Faster AutoAugment: Learning Augmentation Strategies using Backpropagation | - |
| Shake-Shake (26 2×112d) (Faster AA) | 2 | Faster AutoAugment: Learning Augmentation Strategies using Backpropagation | - |
| WideResNet-28-10 (Faster AA) | 2.6 | Faster AutoAugment: Learning Augmentation Strategies using Backpropagation | - |
0 of 5 row(s) selected.