M2-DINO: Parameter-Efficient and Topology-Oriented Multimodal Fusion for Remote Sensing Image Segmentation
This work proposes M2-DINO, a parameter-efficient multimodal adaptation framework for remote sensing semantic segmentation, where topology-oriented terminology refers to architectural sensitivity to topology-relevant structures, such as thin-object continuity and object boundaries, rather than explicit optimization of...