Image Classification on CIFAR-100-LT Imbalance Factor 50
58.1AccuracyGML loss
Evaluation Results
| Method | Links | |
|---|---|---|
| GML lossEpochs=400, Backbone=ResNet-322023.05 | 58.1 | |
| GML lossEpochs=200, Backbone=ResNet-322023.05 | 57.6 | |
| BCLEpochs=200, Backbone=ResNet-322023.05 | 56.6 | |
| PaCoEpochs=400, Backbone=ResNet-322023.05 | 56 | |
| Balanced SoftmaxEpochs=400, Backbone=ResNet-322023.05 | 54.2 | |
| ResLTEpochs=200, Backbone=ResNet-322023.05 | 52.7 | |
| MetaSAug-LDAMEpochs=200, Backbone=ResNet-322023.05 | 52.3 | |
| MISLASEpochs=400, Backbone=ResNet-322023.05 | 52.3 | |
| Hybrid-SCEpochs=200, Backbone=ResNet-322023.05 | 51.8 | |
| Casual modelEpochs=200, Backbone=ResNet-322023.05 | 50.3 | |
| SSPEpochs=200, Backbone=ResNet-322023.05 | 47.1 | |
| BBNEpochs=200, Backbone=ResNet-322023.05 | 47 | |
| LDAM-DRWEpochs=200, Backbone=ResNet-322023.05 | 46.6 | |
| CB-FocalEpochs=200, Backbone=ResNet-322023.05 | 45.2 | |
| Focal lossEpochs=200, Backbone=ResNet-322023.05 | 44.3 |