Yan Ren

St-CGN: Multiscale Consistency and Dual-View Entropy Fusion for Source-Free Domain Adaptation in Remote Sensing Semantic Segmentation

In unsupervised domain adaptation (UDA) for remote sensing (RS), source-free domain adaptation (SFDA) has emerged as a crucial paradigm to overcome strict data limitations. However, traditional self-training (ST) methods struggle with severe domain shifts in SFDA, which cause spatial and semantic inconsistencies that l...