Image Classification on ImageNet-R wild scenario (online imbalanced label distribution shifts)
0.593AccuracyDeYO
Evaluation results
| Method | Links | |
|---|---|---|
| DeYOBackbone=VitBase-LN2024.03 | 0.593 | |
| SARBackbone=VitBase-LN2024.03 | 0.517 | |
| EATABackbone=VitBase-LN2024.03 | 0.51 | |
| TentBackbone=VitBase-LN2024.03 | 0.499 | |
| DeYOBackbone=ResNet-50-GN2024.03 | 0.47 | |
| No Adapt.Backbone=VitBase-LN2024.03 | 0.431 | |
| TentBackbone=ResNet-50-GN2024.03 | 0.428 | |
| EATABackbone=ResNet-50-GN2024.03 | 0.428 | |
| SARBackbone=ResNet-50-GN2024.03 | 0.425 | |
| No Adapt.Backbone=ResNet-50-GN2024.03 | 0.408 |