Joint Class-Time Learning for Video Classification with Multi-Instance Partial-Label Learning

Excerpt

arXiv:2610.06234v1 Announce Type: cross Abstract: Multi-instance partial-label learning (MIPL) addresses inexact supervision in both the instance and label spaces, which can be applied to video classification. However, bag-level labels do not explicitly supervise the correspondence between candidate classes and temporal evidence. We propose {\ours}, which couples label disambiguation with temporal evidence allocation through a joint class--time assignment. Occupancy-regularized spherical matchin