3 papers
cs.LG2025
Exploiting the Potential Supervision Information of Clean Samples in Partial Label Learning
Guangtai Wang, Chi-Man Vong, Jintao Huang
Diminishing the impact of false-positive labels is critical for conducting disambiguation in partial label learning. However, the existing disambiguation strategies mainly focus on…
cs.CV2025
PLOOD: Partial Label Learning with Out-of-distribution Objects
Jintao Huang, Yiu-Ming Cheung, Chi-Man Vong
Existing Partial Label Learning (PLL) methods posit that training and test data adhere to the same distribution, a premise that frequently does not hold in practical application wh…
cs.CV2024
GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning
Jintao Huang, Yiu-ming Cheung, Chi-man Vong +1
Partial label learning (PLL) is a complicated weakly supervised multi-classification task compounded by class imbalance. Currently, existing methods only rely on inter-class pseudo…