Long Tail Learning With Class Descriptors On 1
평가 지표
Long-Tailed Accuracy
Per-Class Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Long-Tailed Accuracy | Per-Class Accuracy | Paper Title | Repository |
|---|---|---|---|---|
| LDAM | 36.4 | 29.8 | Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss | - |
| CADA-VAE | 35.1 | 32.8 | Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders | |
| LWS | 40.2 | 33.9 | Decoupling Representation and Classifier for Long-Tailed Recognition | - |
| DRAGON + Bal'Loss | 38.5 | 36.1 | From Generalized zero-shot learning to long-tail with class descriptors | - |
| DRAGON | 40.4 | 34.8 | From Generalized zero-shot learning to long-tail with class descriptors | - |
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