S2CLNet: Structure-Constrained Semantic Contrastive Learning for Referring Remote Sensing Image Segmentation
Referring remote sensing image segmentation (RRSIS) aims to segment target ground objects in high-resolution remote sensing imagery according to textual descriptions. Due to complex backgrounds and large-scale variations, accurately aligning linguistic semantics with spatial regions remains a challenging problem. Exist...