PointGANet: A Lightweight 3D Point Cloud Learning Architecture for Semantic Segmentation-Reference-Cited by-同舟云学术

PointGANet: A Lightweight 3D Point Cloud Learning Architecture for Semantic Segmentation

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Symposium on Information and Communication Technology
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Author:

Mai-Thanh Lam¹^ORCID,Tran-Minh Khoi¹^ORCID,Huynh-The Thien¹^ORCID

Affiliation:

1. Computer and Communications Engineering, HCM City University of Technology and Education, Viet Nam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3628797.3628809

Reference26 articles.

1. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

2. High-Accuracy Mapping Design Based on Multi-view Images and 3D LiDAR Point Clouds

3. Yu-Chen Chou , Yen-Po Lin , Yang-Ming Yeh , and Yi-Chang Lu . 2021 . 3D-GFE: a Three-Dimensional Geometric-Feature Extractor for Point Cloud Data . In 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE , Tokyo, Japan , 2013–2017. Yu-Chen Chou, Yen-Po Lin, Yang-Ming Yeh, and Yi-Chang Lu. 2021. 3D-GFE: a Three-Dimensional Geometric-Feature Extractor for Point Cloud Data. In 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, Tokyo, Japan, 2013–2017.

4. Perry Gibson , José Cano , Jack Turner , Elliot J. Crowley , Michael O’Boyle , and Amos Storkey . 2020 . Optimizing Grouped Convolutions on Edge Devices. In 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP). IEEE , Manchester, UK, 189–196. Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael O’Boyle, and Amos Storkey. 2020. Optimizing Grouped Convolutions on Edge Devices. In 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP). IEEE, Manchester, UK, 189–196.

5. Yulan Guo Hanyun Wang Qingyong Hu Hao Liu Li Liu and Mohammed Bennamoun. 2020. Deep Learning for 3D Point Clouds: A Survey. arxiv:1912.12033 [cs.CV] Yulan Guo Hanyun Wang Qingyong Hu Hao Liu Li Liu and Mohammed Bennamoun. 2020. Deep Learning for 3D Point Clouds: A Survey. arxiv:1912.12033 [cs.CV]