Long Tail Learning On Cifar 10 Lt R 200
Metrics
Error Rate
Results
Performance results of various models on this benchmark
Model Name | Error Rate | Paper Title | Repository |
|---|---|---|---|
| LDAM + DRW + SAM | 21.9 | Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data | |
| MetaSAug-LDAM | 22.65 | MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition |
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