Long-tailed Image Recognition on CIFAR100 LT IF 100 (test)
81.8Acc (Many)MDCS
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MDCSComponent=Ensemble, Metric Type=Diversity factor (σ) (%), Imbalance Factor=1002023.08 | 81.8 | 63.2 | 55.2 | 66.9 | |
| RIDEComponent=Ensemble, Metric Type=Diversity factor (σ) (%), Imbalance Factor=1002023.08 | 75.8 | 61.5 | 37.5 | 53.1 | |
| SADEComponent=Ensemble, Metric Type=Diversity factor (σ) (%), Imbalance Factor=1002023.08 | 75.5 | 57.1 | 46.5 | 59.8 | |
| MDCSComponent=Expert 1 (E1), Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 75.2 | 37.3 | 4.1 | 40.6 | |
| MDCSComponent=Ensemble, Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 72.4 | 57.8 | 35 | 56.1 | |
| SADEComponent=Expert 1 (E1), Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 67.6 | 36.3 | 6.8 | 38.4 | |
| RIDEComponent=Ensemble, Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 67.4 | 49.5 | 23.7 | 48 | |
| MDCSComponent=Expert 2 (E2), Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 66.4 | 51.7 | 31.4 | 50.8 | |
| T-norm2022.06 | 65.7 | 43.6 | 17.3 | — | |
| LCReglatent_category_features=true, reconstruction_loss=true, latent_augmentation_loss=true2022.06 | 64.2 | 49.2 | 25.3 | — | |
| CRT2022.06 | 64 | 44.8 | 18.1 | — | |
| RIDEComponent=Expert 3 (E3), Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 63.9 | 45.1 | 20.5 | 44.3 | |
| RIDEComponent=Expert 1 (E1), Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 63.5 | 44.8 | 20.3 | 44 | |
| LCReg (baseline)latent_category_features=false, reconstruction_loss=false, latent_augmentation_loss=false2022.06 | 63.1 | 48.4 | 25.3 | — | |
| RIDEComponent=Expert 2 (E2), Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 63.1 | 44.7 | 20.2 | 43.8 | |
| OLTR2022.06 | 61.8 | 41.4 | 17.6 | — | |
| SADEComponent=Ensemble, Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 61.6 | 50.5 | 33.9 | 49.4 | |
| LDAM + DRW2022.06 | 61.5 | 41.7 | 20.2 | — | |
| SADEComponent=Expert 2 (E2), Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 61.2 | 44.7 | 23.5 | 44.2 | |
| MDCSComponent=Expert 3 (E3), Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 23.9 | 37.8 | 48.2 | 36 | |
| SADEComponent=Expert 3 (E3), Metric Type=Accuracy (%), Imbalance Factor=1002023.08 | 14 | 27.6 | 41.2 | 25.8 |