Long Tail Learning With Class Descriptors On 3
評価指標
Per-Class Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Per-Class Accuracy | Paper Title | Repository |
|---|---|---|---|
| OLTR | 37.7 | Large-Scale Long-Tailed Recognition in an Open World | - |
| DRAGON + Bal'Loss | 53.5 | From Generalized zero-shot learning to long-tail with class descriptors | - |
| DRAGON | 51.2 | From Generalized zero-shot learning to long-tail with class descriptors | - |
| LWS | 49.9 | Decoupling Representation and Classifier for Long-Tailed Recognition | - |
| CADA-VAE | 49.3 | Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders |
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