Source-Free Domain Adaptation for Geospatial Point Cloud Semantic Segmentation

ArXi:2601.08375v2 Announce Type: replace Semantic segmentation of 3D geospatial point clouds is fundamental to remote sensing applications, yet domain shifts caused by regional and acquisition-related variations often degrade model performance. Although domain adaptation can mitigate such shifts, existing methods typically require access to source-domain data, which is often infeasible due to privacy concerns and regulatory policies.