Heterogeneous Multihead Decoding With Spatial Guidance for Remote Sensing Weakly Supervised Semantic Segmentation
Weakly supervised remote sensing semantic segmentation aims to achieve pixel-level prediction with limited annotation costs. Recently, CLIP-based methods have shown promising potential by leveraging vision-language alignment for semantic localization; however, they often suffer from ambiguous semantic representations a...