Image Classification on ImageNet (Test Error Rate)
22.4Test Error RateAugMix
Evaluation Results
| Method | Links | |
|---|---|---|
| AugMixBackbone=ResNet-502021.08 | 22.4 | |
| AutoAugment(AA)Backbone=ResNet-502021.08 | 22.8 | |
| MaxBlur poolBackbone=ResNet-502021.08 | 23 | |
| Random AABackbone=ResNet-502021.08 | 23.6 | |
| StandardBackbone=ResNet-502021.08 | 23.9 | |
| APR-PBackbone=ResNet-502021.08 | 24.4 | |
| APR-SPBackbone=ResNet-502021.08 | 24.4 | |
| Patch UniformBackbone=ResNet-502021.08 | 24.5 | |
| APR-SBackbone=ResNet-502021.08 | 24.5 | |
| DeepAugmentBackbone=ResNet-502021.08 | 26.3 | |
| DeepAugment+APR-SPBackbone=ResNet-502021.08 | 26.4 | |
| SINBackbone=ResNet-502021.08 | 27.2 |