Domain Generalization on CIFAR-10-C
84.5AccuracyGLOT-DR
Evaluation results
| Method | Links | |
|---|---|---|
| GLOT-DRBackbone=ResNeXt2022.03 | 84.5 | |
| GLOT-DRBackbone=WideResNet2022.03 | 84.4 | |
| GLOT-DRBackbone=DenseNet2022.03 | 83.6 | |
| ME-ADABackbone=ResNeXt2022.03 | 83.4 | |
| ME-ADABackbone=WideResNet2022.03 | 83.3 | |
| GLOT-DRBackbone=AllConvNet2022.03 | 82.5 | |
| ADABackbone=WideResNet2022.03 | 79.7 | |
| ME-ADABackbone=AllConvNet2022.03 | 78.2 | |
| ADABackbone=ResNeXt2022.03 | 78 | |
| MixupBackbone=WideResNet2022.03 | 77.7 | |
| MixupBackbone=ResNeXt2022.03 | 77.4 | |
| ME-ADABackbone=DenseNet2022.03 | 76.9 | |
| AutoDABackbone=WideResNet2022.03 | 76.1 | |
| AutoDABackbone=ResNeXt2022.03 | 75.8 | |
| MixupBackbone=AllConvNet2022.03 | 75.4 | |
| MixupBackbone=DenseNet2022.03 | 75.4 | |
| AdvTrainBackbone=WideResNet2022.03 | 73.8 | |
| AutoDABackbone=DenseNet2022.03 | 73.4 | |
| CutoutBackbone=WideResNet2022.03 | 73.2 | |
| StandardBackbone=WideResNet2022.03 | 73.1 | |
| ADABackbone=AllConvNet2022.03 | 73 | |
| AdvTrainBackbone=ResNeXt2022.03 | 73 | |
| CutMixBackbone=WideResNet2022.03 | 72.9 | |
| StandardBackbone=ResNeXt2022.03 | 72.5 | |
| AdvTrainBackbone=DenseNet2022.03 | 72.4 | |
| AdvTrainBackbone=AllConvNet2022.03 | 71.9 | |
| CutoutBackbone=ResNeXt2022.03 | 71.1 | |
| AutoDABackbone=AllConvNet2022.03 | 70.8 | |
| CutMixBackbone=ResNeXt2022.03 | 70.5 | |
| ADABackbone=DenseNet2022.03 | 69.8 | |
| StandardBackbone=DenseNet2022.03 | 69.3 | |
| StandardBackbone=AllConvNet2022.03 | 69.2 | |
| CutMixBackbone=AllConvNet2022.03 | 68.7 | |
| CutoutBackbone=DenseNet2022.03 | 67.9 | |
| CutoutBackbone=AllConvNet2022.03 | 67.1 | |
| CutMixBackbone=DenseNet2022.03 | 66.5 |