Long Tail Learning On Cifar 100 Lt R 200
Metrics
Error Rate
Results
Performance results of various models on this benchmark
Model Name | Error Rate | Paper Title | Repository |
|---|---|---|---|
| MetaSAug-LDAM | 56.91 | MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition | |
| PaCo + SAM | 52.0 | Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data |
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