Image Classification on MNIST Corrupted
99.73Acc (0.01 Corruption)DROLT
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| DROLTModel=ResNet202023.11 | 99.73 | 99.81 | 99.79 | 99.98 | — | |
| DRAUC-DaModel=ResNet202023.11 | 99.56 | 99.91 | 99.94 | 99.96 | — | |
| CEModel=ResNet202023.11 | 99.48 | 99.97 | 99.98 | 99.98 | — | |
| AUCMLossModel=ResNet202023.11 | 99.47 | 99.82 | 99.96 | 99.98 | — | |
| DROLTModel=SmallCNN2023.11 | 99.46 | 99.79 | 99.88 | 99.96 | — | |
| ADVShiftModel=ResNet202023.11 | 99.46 | 99.83 | 99.97 | 99.98 | — | |
| DRAUC-DfModel=ResNet202023.11 | 99.45 | 99.93 | 99.97 | 99.97 | — | |
| GLOTModel=SmallCNN2023.11 | 99.39 | 99.91 | 99.94 | 99.97 | — | |
| CEModel=SmallCNN2023.11 | 99.38 | 99.84 | 99.94 | 99.95 | — | |
| DRAUC-DaModel=SmallCNN2023.11 | 99.34 | 99.86 | 99.94 | 99.97 | — | |
| AUCMLossModel=SmallCNN2023.11 | 99.26 | 99.87 | 99.92 | 99.96 | — | |
| WDROModel=SmallCNN2023.11 | 99.26 | 99.89 | 99.95 | 99.96 | — | |
| ADVShiftModel=SmallCNN2023.11 | 99.21 | 99.84 | 99.95 | 99.96 | — | |
| DRAUC-DfModel=SmallCNN2023.11 | 99.19 | 99.9 | 99.94 | 99.96 | — | |
| WDROModel=ResNet202023.11 | 99.17 | 99.94 | 99.97 | 99.99 | — | |
| AUCDROModel=SmallCNN2023.11 | 99.12 | 99.82 | 99.92 | 99.95 | — | |
| FocalLossModel=ResNet202023.11 | 98.9 | 99.85 | 99.95 | 99.97 | — | |
| GLOTModel=ResNet202023.11 | 98.8 | 99.88 | 99.96 | 99.98 | — | |
| AUCDROModel=ResNet202023.11 | 98.65 | 99.87 | 99.89 | 99.95 | — | |
| FocalLossModel=SmallCNN2023.11 | 67.05 | 98.64 | 99.39 | 99.73 | — | |
| CEBackbone=LeNet2025.01 | — | — | — | — | 88.33 | |
| CEBackbone=ConvNet2025.01 | — | — | — | — | 85.5 | |
| CEBackbone=MLP2025.01 | — | — | — | — | 67.29 | |
| DICEBackbone=LeNet2025.01 | — | — | — | — | 88.15 | |
| DICEBackbone=ConvNet2025.01 | — | — | — | — | 85.16 | |
| DICEBackbone=MLP2025.01 | — | — | — | — | 67.3 | |
| HEM-Backbone=LeNet2025.01 | — | — | — | — | 84.57 | |
| HEM-Backbone=ConvNet2025.01 | — | — | — | — | 85.44 | |
| HEM-Backbone=MLP2025.01 | — | — | — | — | 68.12 | |
| LNBackbone=LeNet2025.01 | — | — | — | — | 81.85 | |
| LNBackbone=ConvNet2025.01 | — | — | — | — | 83.18 | |
| LNBackbone=MLP2025.01 | — | — | — | — | 68.35 | |
| MMBackbone=LeNet2025.01 | — | — | — | — | 87.93 | |
| MMBackbone=ConvNet2025.01 | — | — | — | — | 84.34 | |
| MMBackbone=MLP2025.01 | — | — | — | — | 67.75 |