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Long Tail Learning On Cifar 10 Lt R 200
평가 지표
Error Rate
평가 결과
이 벤치마크에서 각 모델의 성능 결과
| Paper Title | ||
|---|---|---|
| MetaSAug-LDAM | 22.65 | MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition |
| LDAM + DRW + SAM | 21.9 | Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data |
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