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Deep-Learning-Based Point Cloud Semantic Segmentation: A Survey

Electronics, 2023
With the rapid development of sensor technologies and the widespread use of laser scanning equipment, point clouds, as the main data form and an important information carrier for 3D scene analysis and understanding, play an essential role in the ...
Rui Zhang
exaly   +2 more sources

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Semantic Context Encoding for Accurate 3D Point Cloud Segmentation

IEEE Transactions on Multimedia, 2021
Yinjie Lei, Yulan Guo, Yanni Ma
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Prototype Adaption and Projection for Few- and Zero-Shot 3D Point Cloud Semantic Segmentation

IEEE Transactions on Image Processing, 2023
Xudong Jiang, Wei Jiang, Henghui Ding
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PCSCNet: Fast 3D semantic segmentation of LiDAR point cloud for autonomous car using point convolution and sparse convolution network

Expert Systems With Applications, 2023
Chansoo Kim, Kichun Jo, Soyeong Kim
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Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

IEEE Geoscience and Remote Sensing Magazine, 2020
Xiaoxiang Zhu, Yuxing Xie, Jiaojiao Tian
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JSNet++: Dynamic Filters and Pointwise Correlation for 3D Point Cloud Instance and Semantic Segmentation

IEEE Transactions on Circuits and Systems for Video Technology, 2023
Wenbing Tao, Lin Zhao
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A new weakly supervised approach for ALS point cloud semantic segmentation

ISPRS Journal of Photogrammetry and Remote Sensing, 2022
Wei Yao, Puzuo Wang
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RG-GCN: A Random Graph Based on Graph Convolution Network for Point Cloud Semantic Segmentation

Remote Sensing, 2022
Yongyang Xu, Zhong Xie, Wan Jie
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CSPC-Dataset: New LiDAR Point Cloud Dataset and Benchmark for Large-Scale Scene Semantic Segmentation

IEEE Access, 2020
Dong Chen, Guofeng Tong, Yong Li
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Voxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods

ISPRS International Journal of Geo-Information, 2019
Florent Poux, Roland Billen
exaly