Vong, Chi-Man

PLOOD: Partial Label Learning with Out-of-distribution Objects

2024 · arXiv (Cornell University)

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 where Out-of-Distribution (OOD) objects are present. We introduce …