Long Tail Learning On Egtea
Métriques
Average Precision
Average Recall
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Average Precision | Average Recall | Paper Title | Repository |
|---|---|---|---|---|
| CB Loss | 63.39 | 63.26 | Class-Balanced Loss Based on Effective Number of Samples | - |
| CDB-loss (3D- ResNeXt101) | 63.86 | 66.24 | Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance | - |
| Focal loss (3D- ResNeXt101) | 59.09 | 59.17 | Focal Loss for Dense Object Detection | - |
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