Dynamic Informative Proposal-Based Iterative Training Procedure for Weakly Supervised Object Detection in Remote Sensing Images
Weakly supervised object detection (WSOD) is an increasingly important task in remote sensing images.However, mainstream WSOD methods often rely on low-quality proposals due to Painted Headstall and Breast Collar sets the complex backgrounds of remote sensing images.Moreover, applying strong data augmentations directly in WSOD methods can introduce