Domain Generalization on CIFAR-100-C
58.4AccuracyGLOT-DR
Evaluation results
| Method | Links | |
|---|---|---|
| GLOT-DRBackbone=ResNeXt2022.03 | 58.4 | |
| ME-ADABackbone=ResNeXt2022.03 | 57.3 | |
| GLOT-DRBackbone=WideResNet2022.03 | 56.5 | |
| GLOT-DRBackbone=AllConvNet2022.03 | 54.8 | |
| ADABackbone=ResNeXt2022.03 | 53.4 | |
| GLOT-DRBackbone=DenseNet2022.03 | 53.2 | |
| ME-ADABackbone=WideResNet2022.03 | 52.8 | |
| ME-ADABackbone=AllConvNet2022.03 | 51.2 | |
| AutoDABackbone=WideResNet2022.03 | 50.4 | |
| ADABackbone=WideResNet2022.03 | 50.4 | |
| MixupBackbone=WideResNet2022.03 | 49.6 | |
| AutoDABackbone=ResNeXt2022.03 | 48.7 | |
| MixupBackbone=ResNeXt2022.03 | 48.6 | |
| ME-ADABackbone=DenseNet2022.03 | 47.8 | |
| CutMixBackbone=WideResNet2022.03 | 47.1 | |
| StandardBackbone=WideResNet2022.03 | 46.7 | |
| MixupBackbone=AllConvNet2022.03 | 46.6 | |
| StandardBackbone=ResNeXt2022.03 | 46.6 | |
| CutoutBackbone=WideResNet2022.03 | 46.5 | |
| AutoDABackbone=DenseNet2022.03 | 46.1 | |
| CutMixBackbone=ResNeXt2022.03 | 45.9 | |
| AdvTrainBackbone=ResNeXt2022.03 | 45.6 | |
| CutoutBackbone=ResNeXt2022.03 | 45.4 | |
| ADABackbone=AllConvNet2022.03 | 45.3 | |
| ADABackbone=DenseNet2022.03 | 45.2 | |
| AutoDABackbone=AllConvNet2022.03 | 44.9 | |
| AdvTrainBackbone=WideResNet2022.03 | 44.9 | |
| AdvTrainBackbone=DenseNet2022.03 | 44.8 | |
| MixupBackbone=DenseNet2022.03 | 44.6 | |
| CutMixBackbone=AllConvNet2022.03 | 44 | |
| AdvTrainBackbone=AllConvNet2022.03 | 44 | |
| StandardBackbone=AllConvNet2022.03 | 43.6 | |
| CutoutBackbone=AllConvNet2022.03 | 43.2 | |
| CutMixBackbone=DenseNet2022.03 | 40.8 | |
| StandardBackbone=DenseNet2022.03 | 40.7 | |
| CutoutBackbone=DenseNet2022.03 | 40.4 |