… to tackle the challenge of semantic segmentation of largescale point clouds of millions of
points. We argue that the organization of 3D point clouds can be efficiently captured by a …

… and useful in applications related to remote sensing, computer vision, and robotics, 3D
point cloud semantic segmentation (PCSS) and point cloud segmentation (PCS) are attracting …

… Standard convolution is inherently limited for semantic segmentation of point cloud due
to its isotropy about features. It neglects the structure of an object, results in poor object …

… point cloud semantic segmentation based on deep learning, we introduce several primary
datasets for point cloud (… of the results of point cloud semantic segmentation and point out its …

… point clouds and … point-wise segmentation of large-scale point clouds, we develop a deep
fusion network architecture with a unique voxel-based “mini-PointNet” structure for point cloud …

… and semantic segmentation for digital representation of cultural heritage. We then focus
on the semantic segmentation of Point Cloud data, discussing different existing approaches. …

… of point cloud semantic segmentation. The given point cloud is denoted as P which is a point
set containing n … A semantic segmentation of a point cloud is a function Ψ which assigns …

… We presented an end-to-end 3D Semantic Segmentation framework that combines 3D-FCNN,
trilinear interpolation and CRF to provide class labels for 3D point clouds. Our approach …

… We design a hierarchical edge branch collaborating with the point prediction branch for
point cloud semantic segmentation, as shown in Fig. 2. We progressively enlarge the graph, …

… time semantic segmentation task. As SqueezeSeg [4], we solve this problem by transforming
the point cloud … Generally, we propose a fast semantic segmentation system for autonomous …