Long-tailed Image Classification on CIFAR100-LT IF 50 (test)
58.2AccuracyNCL
Evaluation results
| Method | Links | |
|---|---|---|
| NCLAggregation=ensemble2022.03 | 58.2 | |
| NCLAggregation=single expert2022.03 | 56.8 | |
| PaCoReference=ICCV'212022.03 | 56 | |
| BSCEVariant=baseline2022.03 | 55 | |
| MISLASReference=CVPR'212022.03 | 52.3 | |
| Hybrid-SCReference=CVPR'212022.03 | 51.9 | |
| ACEReference=ICCV'212022.03 | 51.9 | |
| CAMReference=AAAI'212022.03 | 51.7 | |
| DiVEReference=ICCV'212022.03 | 51.3 | |
| FBLBackbone Net=ResNet-32, IF=502023.05 | 50.65 | |
| LADEReference=CVPR'212022.03 | 50.5 | |
| SSDReference=ICCV'212022.03 | 50.5 | |
| LDAM+DAPReference=CVPR'202022.03 | 49.2 | |
| LDAM-DRWBackbone Net=ResNet-32, IF=502023.05 | 47.62 | |
| BBNBackbone Net=ResNet-32, IF=502023.05 | 47.02 | |
| BBNReference=CVPR'202022.03 | 47 | |
| CB Focal lossReference=CVPR'192022.03 | 46.2 | |
| LDAM+DRWReference=NeurIPS'192022.03 | 45.1 | |
| CE lossBackbone Net=ResNet-32, IF=502023.05 | 44.2 |