Image Classification on Tiny-ImageNet LT (test)
94.67Accuracy (Dogs)GLOT
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GLOTModel=ResNet202023.11 | 94.67 | 96.14 | 98.05 | |
| WDROModel=ResNet202023.11 | 94.46 | 95.5 | 98.19 | |
| DRAUC-DfModel=ResNet322023.11 | 94.43 | 95.29 | 97.37 | |
| WDROModel=ResNet322023.11 | 94.39 | 95.51 | 97.67 | |
| CEModel=ResNet322023.11 | 94.31 | 94.49 | 97.76 | |
| GLOTModel=ResNet322023.11 | 94.08 | 95.16 | 97.92 | |
| DRAUC-DaModel=ResNet322023.11 | 94.03 | 95.96 | 97.65 | |
| DROLTModel=ResNet202023.11 | 93.89 | 96.4 | 97.86 | |
| DRAUC-DaModel=ResNet202023.11 | 93.76 | 95.94 | 97.25 | |
| CEModel=ResNet202023.11 | 93.72 | 94.49 | 97.72 | |
| ADVShiftModel=ResNet202023.11 | 93.7 | 93.53 | 97.66 | |
| FocalLossModel=ResNet322023.11 | 93.41 | 92.85 | 97.78 | |
| DRAUC-DfModel=ResNet202023.11 | 93.39 | 95.58 | 97.5 | |
| AUCMLossModel=ResNet202023.11 | 93.35 | 94.11 | 97.34 | |
| FocalLossModel=ResNet202023.11 | 93.25 | 92.87 | 97.66 | |
| AUCMLossModel=ResNet322023.11 | 93.19 | 95.19 | 97.57 | |
| ADVShiftModel=ResNet322023.11 | 92.92 | 94.71 | 97.59 | |
| AUCDROModel=ResNet202023.11 | 92.58 | 93.04 | 96.29 | |
| DROLTModel=ResNet322023.11 | 91.68 | 96.06 | 97.82 | |
| AUCDROModel=ResNet322023.11 | 91.56 | 93.15 | 96.33 |