Image Classification on ImageNet-1k Corrupt
30.61AccuracyCE
Evaluation results
| Method | Links | |
|---|---|---|
| CEBackbone=ResNet502025.01 | 30.61 | |
| LNBackbone=ResNet502025.01 | 30.13 | |
| HEM-Backbone=ResNet502025.01 | 29.14 | |
| LNBackbone=SwinT2025.01 | 28.01 | |
| LNBackbone=ViT-B/162025.01 | 25.27 | |
| CEBackbone=ViT-B/162025.01 | 24.8 | |
| HEM-Backbone=SwinT2025.01 | 24.71 | |
| CEBackbone=SwinT2025.01 | 24.53 | |
| HEM-Backbone=ViT-B/162025.01 | 22.81 | |
| MMBackbone=ResNet502025.01 | 22.36 | |
| MMBackbone=ViT-B/162025.01 | 21 | |
| MMBackbone=SwinT2025.01 | 8.3 | |
| DICEBackbone=SwinT2025.01 | 6.56 | |
| DICEBackbone=ViT-B/162025.01 | 3.71 | |
| DICEBackbone=ResNet502025.01 | 0.96 |