Image Classification on Tiny-ImageNet-C (test)
85.79Accuracy (Dogs)DRAUC-Df
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| DRAUC-DfModel=ResNet322023.11 | 85.79 | 88 | 88.32 | |
| DRAUC-DaModel=ResNet322023.11 | 84.56 | 87.6 | 88.46 | |
| ADVShiftModel=ResNet322023.11 | 84.3 | 84.56 | 86.43 | |
| DRAUC-DfModel=ResNet202023.11 | 84.11 | 87.3 | 88.67 | |
| DRAUC-DaModel=ResNet202023.11 | 83.96 | 87.61 | 89.06 | |
| CEModel=ResNet322023.11 | 82.55 | 84.64 | 86.26 | |
| WDROModel=ResNet202023.11 | 82.2 | 85.23 | 85.92 | |
| GLOTModel=ResNet202023.11 | 81.96 | 85.89 | 86.8 | |
| GLOTModel=ResNet322023.11 | 81.7 | 83.09 | 88.24 | |
| ADVShiftModel=ResNet202023.11 | 81.2 | 80.94 | 86.65 | |
| DROLTModel=ResNet202023.11 | 80.44 | 86.91 | 86.76 | |
| WDROModel=ResNet322023.11 | 80.08 | 85.58 | 86.94 | |
| DROLTModel=ResNet322023.11 | 79.25 | 85.75 | 86.79 | |
| CEModel=ResNet202023.11 | 78.46 | 85.19 | 87.53 | |
| FocalLossModel=ResNet202023.11 | 78.34 | 81.48 | 86.55 | |
| AUCDROModel=ResNet322023.11 | 78.21 | 80.55 | 85.26 | |
| FocalLossModel=ResNet322023.11 | 77.96 | 79.8 | 85.33 | |
| AUCMLossModel=ResNet202023.11 | 77.35 | 85.98 | 82.37 | |
| AUCMLossModel=ResNet322023.11 | 77.25 | 79.8 | 81.12 | |
| AUCDROModel=ResNet202023.11 | 75.97 | 83.26 | 79.46 |