CAF-Net: A Unified Framework for Resolving Spatial–Frequency Representation Conflicts in Multimodal Remote Sensing Segmentation
The results indicate that explicitly modeling spatial–frequency discrepancies can improve multimodal segmentation accuracy and representation consistency.