Yingxiao Du

No One Left Behind: Improving the Worst Categories in Long-Tailed Learning

Unlike the case when using a balanced training dataset, the per-class recall (i.e., accuracy) of neural networks trained with an imbalanced dataset are known to vary a lot from category to category. The convention in long-tailed recognition is to manually split all categories into three subsets and…