LiDAR Point Cloud Classification with Coordinate Attention Blueprint Separation Involution Neural Network-Reference-Cited by-同舟云学术

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LiDAR Point Cloud Classification with Coordinate Attention Blueprint Separation Involution Neural Network

Published:2023-05-24 Issue: Volume: Page:
ISSN:
Container-title:2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
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Author:

Zhou Jian¹,Zhang Guodao²,Dai Liting²,Zhou Guangjie³,Liu Ruyu⁴

Affiliation:

1. Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China

2. Hangzhou Dianzi University,School of Media and Design,Hangzhou,China

3. Hangzhou Normal University,School of Information Science and Technology,Hangzhou,China

4. Chinese Academy of Sciences Quanzhou Institute of Equipment Manufacturing,Haixi Institutes,Quanzhou,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Hangzhou Dianzi University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10152543/10151991/10152815.pdf?arnumber=10152815

Reference23 articles.

1. Circular economy practices and industry 4.0 technologies: A strategic move of automobile industry

2. Pointnet: Deep learning on point sets for 3d classification and segmentation;Qi

3. PointNet++: Deep hierarchical feature learning on point sets in a metric space;Qi

4. Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

5. SVM-Based Classification of Segmented Airborne LiDAR Point Clouds in Urban Areas

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