RL-Axial: Learning When to Compute Global Context for Multimodal Segmentation
High-resolution remote sensing semantic segmentation is a key enabler for fine-grained urban mapping and related geospatial applications. However, complex textures, severe scale variations, and cross-modal discrepancies make models with fixed architectures and computation paths struggle to combine reliable multimodal f...