4 papers
Source-Free Domain Adaptation for Geospatial Point Cloud Semantic Segmentation
Yuan Gao, Di Cao, Xiaohuan Xi +3
Semantic segmentation of 3D geospatial point clouds is fundamental to remote sensing applications, yet domain shifts caused by regional and acquisition-related variations often deg…
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
Yuan Gao, Shaobo Xia, Sheng Nie +3
Airborne laser scanning (ALS) point cloud semantic segmentation is a fundamental task for large-scale 3D scene understanding. Fixed models deployed in real-world scenarios often su…
Cross-view Domain Generalization via Geometric Consistency for LiDAR Semantic Segmentation
Jindong Zhao, Yuan Gao, Yang Xia +4
Domain-generalized LiDAR semantic segmentation (LSS) seeks to train models on source-domain point clouds that generalize reliably to multiple unseen target domains, which is essent…
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives
Yuan Gao, Shaobo Xia, Pu Wang +3
Light detection and ranging (LiDAR) remote sensing encompasses two major directions: data interpretation and parameter inversion. However, both directions rely heavily on costly an…