Multi-View Prototype-based Disambiguation for Partial Label Learning

•We proposes a novel framework termed DMVP, which can fully utilize the complementary and consensus information cross distinct views.•We theoretically introduce a multi-view learning mechanism to extend the original singleview PLL setting.•We conduct comparative studies against existing single-view deep PLL methods to validate the effectiveness of DMVP for MVPLL problem.