1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Reviving Undersampling for Long-Tailed Learning
Hao Yu, Yingxiao Du, Jianxin Wu
The training datasets used in long-tailed recognition are extremely unbalanced, resulting in significant variation in per-class accuracy across categories. Prior works mostly used…
cs.CV2023★ 1 cited
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning
Yingxiao Du, Jianxin Wu
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 cat…