Image Classification on CIFAR-10 Long-Tailed IF=10 (test)
95.2AccuracyGLMC + SAMN
Evaluation results
| Method | Links | |
|---|---|---|
| GLMC + SAMNBackbone=ResNet32, Imbalance Factor=102026.06 | 95.2 | |
| GLMCBackbone=ResNet32, Imbalance Factor=102026.06 | 95.1 | |
| CE + SAMNBackbone=ResNet32, Imbalance Factor=102026.06 | 92.8 | |
| SLAS + SAMNBackbone=ResNet32, Imbalance Factor=102026.06 | 92.8 | |
| SLASBackbone=ResNet32, Imbalance Factor=102026.06 | 92.7 | |
| CE (with WD in stage one)Backbone=ResNet32, Imbalance Factor=102026.06 | 91.9 | |
| CSABackbone=ResNet32, Imbalance Factor=102026.06 | 90.8 | |
| DiffuLTBackbone=ResNet32, Imbalance Factor=102026.06 | 90.7 | |
| ADRWBackbone=ResNet32, Imbalance Factor=102026.06 | 90.3 | |
| BBNBackbone=ResNet32, Imbalance Factor=102026.06 | 88.3 | |
| cRTBackbone=ResNet32, Imbalance Factor=102026.06 | 88.3 | |
| LDAM-DRWBackbone=ResNet32, Imbalance Factor=102026.06 | 88.2 | |
| Focal LossBackbone=ResNet32, Imbalance Factor=102026.06 | 86.7 |