Learning Consistency From High-Confidence Pseudo-Labels for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) tasks aim to classify and locate a single object under the supervision of only image-level labels.Pseudo-supervised learning methods have been shown to be effective for WSOL.These methods divide WSOL tasks into two decoupled subtasks: classification and localization.The decoupled framework has been prove