Center-Aware Instance Segmentation for Close Objects in Industrial 3-D Point Cloud Scenes-Reference-Cited by-同舟云学术

Center-Aware Instance Segmentation for Close Objects in Industrial 3-D Point Cloud Scenes

Published:2024-02 Issue:2 Volume:20 Page:2812-2821
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Zhang Jie¹^ORCID,Zhou Zitai²^ORCID,Sun Junhua²^ORCID

Affiliation:

1. Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

2. School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

Aero Engine Corporation of China through Industry-University-Research Collaboration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10411967/10199148.pdf?arnumber=10199148

Reference27 articles.

1. 4-D Spatiotemporal Detection and Modeling of Free-Bending Pipelines in Cluttered 3-D Point Cloud

2. 3DFineRec: Fine-grained Recognition for Small-Scale Objects in 3D Point Cloud Scenes

3. An Unequal Deep Learning Approach for 3-D Point Cloud Segmentation

4. Multilevel Attention Based U-Shape Graph Neural Network for Point Clouds Learning

5. Deep Learning for 3D Point Clouds: A Survey

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