Conference
Open access
Sep 2026
Dual Branch Mutual Teaching for Long-Tailed Partial Label Learning
In Partial Label Learning (PLL), each instance is associated with a candidate label set, with exactly one label being true. While most studies implicitly assume balanced class distributions, real-world data often exhibit severe class imbalance distributions, leading to the Long-Tailed Partial Label Learning (LT-PLL) pr...
Xiangyu Ren, Mingxuan Xia, Guang-Cheng Zhu et al.
· Proceedings of the Thirty-Fi... · 0 citations