Image Classification on CIFAR-10 standard (test) (Error Rate)
3.8Error RateAutoAugment
Evaluation Results
| Method | Links | |
|---|---|---|
| AutoAugmentBackbone=ResNeXt2021.08 | 3.8 | |
| CutMixBackbone=ResNeXt2021.08 | 3.9 | |
| APR-SPBackbone=ResNeXt2021.08 | 3.9 | |
| MixupBackbone=ResNeXt2021.08 | 4.2 | |
| AugMixBackbone=ResNeXt2021.08 | 4.2 | |
| APR-SPBackbone=WideResNet2021.08 | 4.3 | |
| StandardBackbone=ResNeXt2021.08 | 4.3 | |
| CutoutBackbone=WideResNet2021.08 | 4.4 | |
| CutoutBackbone=ResNeXt2021.08 | 4.4 | |
| APR-PBackbone=ResNeXt2021.08 | 4.5 | |
| APR-SBackbone=ResNeXt2021.08 | 4.5 | |
| CutMixBackbone=WideResNet2021.08 | 4.6 | |
| CutoutBackbone=DenseNet2021.08 | 4.8 | |
| AutoAugmentBackbone=DenseNet2021.08 | 4.8 | |
| APR-SPBackbone=DenseNet2021.08 | 4.8 | |
| AutoAugmentBackbone=WideResNet2021.08 | 4.8 | |
| APR-PBackbone=WideResNet2021.08 | 4.8 | |
| AugMixBackbone=DenseNet2021.08 | 4.9 | |
| MixupBackbone=WideResNet2021.08 | 4.9 | |
| AugMixBackbone=WideResNet2021.08 | 4.9 | |
| APR-PBackbone=DenseNet2021.08 | 5 | |
| APR-SBackbone=WideResNet2021.08 | 5 | |
| APR-SBackbone=DenseNet2021.08 | 5.1 | |
| StandardBackbone=WideResNet2021.08 | 5.2 | |
| CutMixBackbone=DenseNet2021.08 | 5.3 | |
| APR-PBackbone=AllConvNet2021.08 | 5.5 | |
| MixupBackbone=DenseNet2021.08 | 5.5 | |
| APR-SPBackbone=AllConvNet2021.08 | 5.7 | |
| StandardBackbone=DenseNet2021.08 | 5.8 | |
| StandardBackbone=AllConvNet2021.08 | 6.1 | |
| CutoutBackbone=AllConvNet2021.08 | 6.1 | |
| MixupBackbone=AllConvNet2021.08 | 6.3 | |
| CutMixBackbone=AllConvNet2021.08 | 6.4 | |
| AugMixBackbone=AllConvNet2021.08 | 6.5 | |
| APR-SBackbone=AllConvNet2021.08 | 6.5 | |
| AutoAugmentBackbone=AllConvNet2021.08 | 6.6 | |
| Adv TrainingBackbone=ResNeXt2021.08 | 15.4 | |
| Adv TrainingBackbone=WideResNet2021.08 | 17.1 | |
| Adv TrainingBackbone=DenseNet2021.08 | 17.9 | |
| Adv TrainingBackbone=AllConvNet2021.08 | 18.9 |