Image Classification on Imbalanced CIFAR-10 (LT Ratio 100, test)
80.45Top-1 AccABSGD (CB-LDAM)
Evaluation Results
| Method | Links | |
|---|---|---|
| ABSGD (CB-LDAM)Backbone=ResNet32, Loss Function=CB-LDAM2020.12 | 80.45 | |
| META (CB-LDAM)Backbone=ResNet32, Loss Function=CB-LDAM2020.12 | 80 | |
| ABSGD (CB-Focal)Backbone=ResNet32, Loss Function=CB-Focal2020.12 | 79.53 | |
| ABSGD (CB-CE)Backbone=ResNet32, Loss Function=CB-CE2020.12 | 79.34 | |
| META (CB-Focal)Backbone=ResNet32, Loss Function=CB-Focal2020.12 | 78.9 | |
| ABSGD (CB-LDAM)Backbone=ResNet32, Loss Function=CB-LDAM2020.12 | 78.33 | |
| SGD (CB-LDAM)Backbone=ResNet32, Loss Function=CB-LDAM2020.12 | 77.03 | |
| SGD (CB-LDAM)Backbone=ResNet32, Loss Function=CB-LDAM2020.12 | 76.92 | |
| META (CB-CE)Backbone=ResNet32, Loss Function=CB-CE2020.12 | 76.41 | |
| ABSGD (CB-Focal)Backbone=ResNet32, Loss Function=CB-Focal2020.12 | 76.33 | |
| SGD (CB-Focal)Backbone=ResNet32, Loss Function=CB-Focal2020.12 | 74.57 | |
| SGD (LDAM)Backbone=ResNet32, Loss Function=LDAM2020.12 | 73.35 | |
| ABSGD (CB-CE)Backbone=ResNet32, Loss Function=CB-CE2020.12 | 72.93 | |
| SGD (CB-CE)Backbone=ResNet32, Loss Function=CB-CE2020.12 | 72.37 | |
| ResamplingBackbone=ResNet32, Loss Function=CE2020.12 | 71.78 | |
| SGD (LDAM)Backbone=ResNet32, Loss Function=LDAM2020.12 | 66.58 | |
| SGD (CB-CE)Backbone=ResNet32, Loss Function=CB-CE2020.12 | 61.84 | |
| ResamplingBackbone=ResNet32, Loss Function=CE2020.12 | 61.16 | |
| SGD (CB-Focal)Backbone=ResNet32, Loss Function=CB-Focal2020.12 | 60.27 |