Towards Effective Visual Representations for Partial-Label Learning

Shiyu Xia, Jiaqi Lv, Ning Xu +2

Under partial-label learning (PLL) where, for each training instance, only a set of ambiguous candidate labels containing the unknown true label is accessible, contrastive learning…