Semantic segmentation of the sensed point cloud data plays a significant role in scene understanding and reconstruction, robot navigation, etc.

Semantic segmentation of the sensed point cloud data plays a significant role in scene understanding and reconstruction, robot navigation, etc.

Abstract: Semantic segmentation of the sensed point cloud data plays a significant role in scene understanding and reconstruction, robot navigation, etc.

We propose a point cloud semantic segmentation method, and a fusion graph convolutional network (FGCN) which extracts the semantic information of each point ...

A novel multi-scale graph convolutional neural network (MSGCNN) to allow multi- Scale feature learning for fine-grained point cloud segmentation and ...

This paper presents a k NN-based 3D semantic segmentation network, which is a structural model for directly processing the unorganized point clouds. The network ...

Oct 9, 2023 · We propose a point cloud semantic segmentation method, and a fusion graph convolutional network (FGCN) which extracts the semantic information ...

This paper proposes a hierarchical depthwise graph convolutional neural network (HDGCN) for point cloud semantic segmentation using a series of DGConv ...

This work presents a Graph Convolutional Network integrating K-Nearest Neighbor searching (KNN) and Vector of Locally Aggregated Descriptors (VLAD). KNN ...

Dec 1, 2021 · This paper presents a kNN-based 3D semantic segmentation network, which is a structural model for directly processing the unorganized point ...