Two-Phase Learning for Weakly Supervised Object Localization
Two-Phase Learning for Weakly Supervised Object Localization
Weakly supervised semantic segmentation and localization have a problem of focusing only on the most important parts of an image since they use only image-level annotations. In this paper, we solve this problem fundamentally via two-phase learning. Our networks are trained in two steps. In the first step, a conventional …