Si-Yuan Hao

Coupled Geometry-Sequence State-Space Model for Point Cloud Semantic Segmentation

The complex spatial structures and varying scales of point cloud data make semantic segmentation a highly challenging task. While downsampling and feature fusion are essential steps in mainstream networks, existing models often suffer from local geometry loss and multiscale semantic conflicts during these processes. To...