CGSNet: Category Prior-Guided Self-Supervised Semantic Segmentation for Remote Sensing Images
Multimodal fusion methods have shown great potential in remote sensing image analysis, but existing approaches rely heavily on massive amounts of annotated data. This is not only costly and time-consuming but also prone to subjective bias. To address this issue, we propose a category-prior-based self-supervised framewo...