F. Shuang

GSSP-KAN: An Efficient Kansformer-Based Network with Grouped Separable Sparse Convolution for Large-Scale LiDAR Point Cloud Semantic Segmentation

Semantic segmentation of large-scale power-corridor LiDAR point clouds is essential for remote sensing-based transmission line inspection, vegetation encroachment monitoring, and intelligent grid maintenance. However, existing methods still struggle with massive data volumes, severe class imbalance, sparse power-relate...