Image Classification on CIFAR-10 Clean (Accuracy)
94.77AccuracySource
Evaluation Results
| Method | Links | |
|---|---|---|
| SourceBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 94.77 | |
| TEABackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 94.09 | |
| BNBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 93.97 | |
| SARBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 93.97 | |
| ETABackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 93.96 | |
| EATABackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 93.96 | |
| PLBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 93.75 | |
| TENTBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 93.66 | |
| GCELoss function=Generalized Cross Entropy2026.05 | 93.48 | |
| CELoss function=Cross Entropy2026.05 | 93.45 | |
| SHOTBackbone=WRN-28-10, Normalization=BatchNorm2023.11 | 93.25 | |
| SGCELoss function=SGCE, Normalization=Euclidean2026.05 | 93.05 | |
| UnhingedLoss function=multi-class unhinged loss, Normalization=Euclidean2026.05 | 93.03 | |
| SCELoss function=Symmetric Cross Entropy2026.05 | 92.99 | |
| α-MAELoss function=alpha-MAE, Normalization=Euclidean2026.05 | 92.64 | |
| ANL-CELoss function=ANL-CE2026.05 | 91.66 | |
| NCE+AGCELoss function=NCE+AGCE2026.05 | 91.08 | |
| NCE+RCELoss function=NCE+RCE2026.05 | 90.94 | |
| MAELoss function=Mean Absolute Error2026.05 | 88.8 |