Image Classification on CIFAR-10-C (Severity 1-5)
87.88AccuracyTEA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TEABackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 87.88 | 52 | |
| TENTBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 86.75 | 56.17 | |
| SARBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 85.83 | 58.97 | |
| EATABackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 85.64 | 59.98 | |
| BNBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 85.63 | 60 | |
| ETABackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 85.63 | 59.99 | |
| SHOTBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 82.35 | 72.61 | |
| SourceBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 73.45 | 100 | |
| PLBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 72.62 | 99.37 |