Abstract: During the deep learning era, innovations in remote sensing (RS) vision models primarily focused on optimizing network architectures for specific tasks and conducting end-to-end training.

Abstract: The primary challenges in image-level weakly supervised semantic segmentation (WSSS) lie in addressing the under-activation issue of target pixels and mitigating the co-occurrence phenomenon ...