Image Classification on ImageNet-C Severity Level 3, Mixed Shifts v1 (test)
72.1AccuracyDeYO
Evaluation results
| Method | Links | |
|---|---|---|
| DeYOBackbone=VitBase-LN2024.03 | 72.1 | |
| SARBackbone=VitBase-LN2024.03 | 70.7 | |
| TentBackbone=VitBase-LN2024.03 | 70.2 | |
| EATABackbone=VitBase-LN2024.03 | 69.6 | |
| MEMOBackbone=VitBase-LN2024.03 | 62.1 | |
| DeYOBackbone=ResNet-50-GN2024.03 | 59.2 | |
| SARBackbone=ResNet-50-GN2024.03 | 57.4 | |
| EATABackbone=ResNet-50-GN2024.03 | 56.1 | |
| MEMOBackbone=ResNet-50-GN2024.03 | 54.5 | |
| ResNet-50-GNBackbone=ResNet-50-GN2024.03 | 54 | |
| VitBase-LNBackbone=VitBase-LN2024.03 | 53.8 | |
| TentBackbone=ResNet-50-GN2024.03 | 33.1 |