Image Classification on ImageNet-C (Top-1 Acc. and mCE)
77.8Top-1 AccuracyNoisy Student Training (L2)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Noisy Student Training (L2)Res.=2992019.11 | 77.8 | 28.3 | |
| Noisy Student Training (L2)Res.=2242019.11 | 76.5 | 30 | |
| EfficientNet-L2Res.=2992019.11 | 66.6 | 42.5 | |
| DeiT-LForAug=True2025.03 | 63.4 | — | |
| DeiT-BForAug=True2025.03 | 62.8 | — | |
| EfficientNet-L2Res.=2242019.11 | 62.6 | 47.5 | |
| DeiT-BForAug=False2025.03 | 62.1 | — | |
| DeiT-LForAug=False2025.03 | 59.3 | — | |
| DeiT-SForAug=False2025.03 | 58.8 | — | |
| DeiT-SForAug=True2025.03 | 57 | — | |
| ViT-SForAug=True2025.03 | 52.6 | — | |
| Patch GaussianRes.=2992019.11 | 52.3 | 60.4 | |
| ViT-BForAug=True2025.03 | 51.6 | — | |
| ViT-LForAug=True2025.03 | 48.2 | — | |
| ResNet101ForAug=True2025.03 | 46.3 | — | |
| Swin-SForAug=True2025.03 | 45.6 | — | |
| SINRes.=2242019.11 | 45.2 | 69.3 | |
| ViT-SForAug=False2025.03 | 44.7 | — | |
| ResNet101ForAug=False2025.03 | 41.7 | — | |
| Swin-TiForAug=True2025.03 | 41.4 | — | |
| ResNet50ForAug=True2025.03 | 41 | — | |
| ViT-BForAug=False2025.03 | 40.4 | — | |
| ResNet-50Res.=2242019.11 | 39 | 76.7 | |
| Swin-SForAug=False2025.03 | 39 | — | |
| ViT-LForAug=False2025.03 | 38.4 | — | |
| ResNet50ForAug=False2025.03 | 38 | — | |
| CNFABackbone=Resnet-182024.07 | 37.8 | — | |
| CFABackbone=Resnet-182024.07 | 36.9 | — | |
| NCLBackbone=Resnet-182024.07 | 36.1 | — | |
| Swin-TiForAug=False2025.03 | 36 | — | |
| CLBackbone=Resnet-182024.07 | 34.5 | — | |
| DINO-ResNetTraining Schedule=CombDiet, Evaluation Protocol=Linear Probing2025.11 | — | 66.7 | |
| DINO-ResNetTraining Schedule=SHF, Evaluation Protocol=Linear Probing2025.11 | — | 89.6 | |
| DINO-ResNetTraining Schedule=STD, Evaluation Protocol=Linear Probing2025.11 | — | 77.4 | |
| DINO-ViTTraining Schedule=CombDiet, Evaluation Protocol=Linear Probing2025.11 | — | 70.3 | |
| DINO-ViTTraining Schedule=SHF, Evaluation Protocol=Linear Probing2025.11 | — | 77.5 | |
| DINO-ViTTraining Schedule=STD, Evaluation Protocol=Linear Probing2025.11 | — | 70.2 | |
| ResNeXt-101 WSLRes.=2242019.11 | — | 45.7 | |
| SimCLR-ResNetTraining Schedule=CombDiet, Evaluation Protocol=Linear Probing2025.11 | — | 64.8 | |
| SimCLR-ResNetTraining Schedule=SHF, Evaluation Protocol=Linear Probing2025.11 | — | 73.2 | |
| SimCLR-ResNetTraining Schedule=STD, Evaluation Protocol=Linear Probing2025.11 | — | 71.3 | |
| SimCLR-ViTTraining Schedule=CombDiet, Evaluation Protocol=Linear Probing2025.11 | — | 71.5 | |
| SimCLR-ViTTraining Schedule=SHF, Evaluation Protocol=Linear Probing2025.11 | — | 80.2 | |
| SimCLR-ViTTraining Schedule=STD, Evaluation Protocol=Linear Probing2025.11 | — | 77 |