Image Classification Robustness on CIFAR-10-P
1.5mFR (%)AUGMIX
Evaluation results
| Method | Links | |
|---|---|---|
| AUGMIXArchitecture=AllConvNet2019.12 | 1.5 | |
| AUGMIXArchitecture=ResNeXt2019.12 | 1.5 | |
| AUGMIXArchitecture=WideResNet2019.12 | 1.6 | |
| AUGMIXArchitecture=Mean2019.12 | 1.6 | |
| AUGMIXArchitecture=DenseNet2019.12 | 1.8 | |
| Adv TrainingArchitecture=AllConvNet2019.12 | 2 | |
| Adv TrainingArchitecture=DenseNet2019.12 | 2.1 | |
| Adv TrainingArchitecture=WideResNet2019.12 | 2.2 | |
| Adv TrainingArchitecture=Mean2019.12 | 2.2 | |
| Adv TrainingArchitecture=ResNeXt2019.12 | 2.5 | |
| MixupArchitecture=ResNeXt2019.12 | 3.2 | |
| MixupArchitecture=WideResNet2019.12 | 3.4 | |
| MixupArchitecture=Mean2019.12 | 3.6 | |
| MixupArchitecture=AllConvNet2019.12 | 3.9 | |
| MixupArchitecture=DenseNet2019.12 | 3.9 | |
| AutoAugment*Architecture=AllConvNet2019.12 | 4 | |
| StandardArchitecture=ResNeXt2019.12 | 4 | |
| StandardArchitecture=AllConvNet2019.12 | 4.2 | |
| StandardArchitecture=WideResNet2019.12 | 4.2 | |
| AutoAugment*Architecture=WideResNet2019.12 | 4.2 | |
| AutoAugment*Architecture=ResNeXt2019.12 | 4.2 | |
| CutoutArchitecture=WideResNet2019.12 | 4.3 | |
| StandardArchitecture=Mean2019.12 | 4.3 | |
| AutoAugment*Architecture=Mean2019.12 | 4.3 | |
| CutMixArchitecture=AllConvNet2019.12 | 4.5 | |
| CutoutArchitecture=ResNeXt2019.12 | 4.5 | |
| CutMixArchitecture=WideResNet2019.12 | 4.6 | |
| AutoAugment*Architecture=DenseNet2019.12 | 4.8 | |
| CutoutArchitecture=Mean2019.12 | 4.9 | |
| CutoutArchitecture=AllConvNet2019.12 | 5 | |
| StandardArchitecture=DenseNet2019.12 | 5 | |
| CutMixArchitecture=ResNeXt2019.12 | 5.2 | |
| CutMixArchitecture=Mean2019.12 | 5.2 | |
| CutoutArchitecture=DenseNet2019.12 | 5.7 | |
| CutMixArchitecture=DenseNet2019.12 | 6.3 |