Bridging Global Context and Local Detail in State Space Models for Fine-Grained Landslide Segmentation in Remote Sensing Imagery
Accurate landslide mapping from high-resolution remote sensing imagery requires both broad spatial context and precise boundary detail. State space models (SSMs), such as vision state space duality (VSSD), provide global receptive fields with linear complexity, but their global interaction mechanism offers no dedicated...