… is under-utilized and the segmentation performance decreases. To fix … SAC can be computed
efficiently since it can be … for LiDAR point-cloud segmentation and outperform all previous …

… an efficient network architecture for point cloud segmentation. Our GASN deals with point
cloud segmentation … representation to maintain performance and efficiency. GASN consists of …

… In aspect of point cloud segmentation in large-scale driving scene, we discover that: 1).
voxel-based methods are relatively higher in performance than point- and rangebased methods, …

… robust 3D point cloud processing. The fuzzy spherical kernel avoids splits along the radial
direction altogether. To apply our kernel effectively for semantic segmentation of point clouds, …

… This paper presents an efficient semi-supervised architecture for 3D point cloud semantic
segmentation, which achieves more in terms of performance with less computational costs, …

… -efficient learning strategies for point cloud segmentation, … active learning for 3D point cloud
segmentation has not been … of active learning to 3D point cloud segmentation, and explore …

… We study the problem of efficient semantic segmentation for large-scale 3D point clouds.
By … and operate over small-scale point clouds. In this paper, we introduce RandLA-Net, an …

… In this paper, we propose DRINet++, an efficient network architecture for point cloud
segmentation via the voxel-as-point principle. DRINet++ consists of Sparse Feature Encoder (SFE) …

… feature fusion strategy, PPConv achieves superior efficiency compared to stateof-the-art …
the efficiency of PPConv in terms of the trade-off between inference time and segmentation …

… of efficiency. We first state the problem definition that segments all the points in a point
cloud using NN with a sampling method of a specific number of points. Next, we introduce our …