24. 24
Class-Balanced Loss Based on Effective Number of
Samples,CVPR 2019 [4]
▪ あるクラスに対して、データサンプル数の増加に連れ
て、新しいサンプルがモデルへの貢献が少なくなる
▪ 有効サンプル数の概念を提案した
▪ 過去のre-weighting手法では各クラスのサンプル数を
参照して重み付けに対して、有効サンプル数で重みを
デザインする
3.2.1
49. 49
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