Image Classification on CIFAR-10-C (Label Shift)
81.96AccuracyATP-online
Evaluation results
| Method | Links | |
|---|---|---|
| ATP-onlineBackbone=ResNet-18, Adaptation Type=Online2023.10 | 81.96 | |
| EMBackbone=ResNet-182023.10 | 80.73 | |
| ATP-batchBackbone=ResNet-18, Adaptation Type=Batch2023.10 | 79.9 | |
| BBSEBackbone=ResNet-182023.10 | 79.3 | |
| MEMOBackbone=ResNet-182023.10 | 77.3 | |
| SurgicalBackbone=ResNet-182023.10 | 76 | |
| No adaptationBackbone=ResNet-182023.10 | 72.98 | |
| T3ABackbone=ResNet-182023.10 | 71.7 | |
| BN-AdaptBackbone=ResNet-182023.10 | 54.54 | |
| TentBackbone=ResNet-182023.10 | 50.13 | |
| SHOTBackbone=ResNet-182023.10 | 48.13 |