| image-classification-on-objectnet | ResNet-50 + GroupNorm | #60 | Top-1 Accuracy: 29.2Top-5 Accuracy: 50.2 |
| image-classification-on-objectnet | ResNet-50 + RoHL | #61 | Top-1 Accuracy: 29.2 |
| image-classification-on-objectnet | ResNet-50 + FixUp | #64 | Top-1 Accuracy: 28.5Top-5 Accuracy: 48.6 |
| unsupervised-domain-adaptation-on-imagenet-c | ResNeXt101+DeepAug+AugMix, BatchNorm Adaptation, full adaptation | #5 | mean Corruption Error (mCE): 38.0 |
| unsupervised-domain-adaptation-on-imagenet-c | ResNeXt101+DeepAug+AugMix, BatchNorm Adaptation, 8 samples | #6 | mean Corruption Error (mCE): 40.7 |
| unsupervised-domain-adaptation-on-imagenet-c | ResNet50+DeepAug+AugMix, BatchNorm Adaptation, full adaptation | #11 | mean Corruption Error (mCE): 45.4 |
| unsupervised-domain-adaptation-on-imagenet-c | ResNet50+DeepAug+AugMix, BatchNorm Adaptation, 8 samples | #12 | mean Corruption Error (mCE): 48.4 |
| unsupervised-domain-adaptation-on-imagenet-c | ResNet50 (baseline), BatchNorm Adaptation, full adaptation | #15 | mean Corruption Error (mCE): 62.2 |
| unsupervised-domain-adaptation-on-imagenet-c | ResNet50 (baseline), BatchNorm Adaptation, 8 samples | #16 | mean Corruption Error (mCE): 65.0 |
| unsupervised-domain-adaptation-on-imagenet-r | ResNeXt101+DeepAug+AugMix, BatchNorm Adaptation, | #4 | Top 1 Error: 44.0 |
| unsupervised-domain-adaptation-on-imagenet-r | ResNet50+DeepAug+Augmix, BatchNorm adaptation | #5 | Top 1 Error: 48.9 |
| unsupervised-domain-adaptation-on-imagenet-r | ResNet50, BatchNorm adaptation | #8 | Top 1 Error: 59.9 |