PointCluster: Deep Clustering of 3-D Point Clouds With Semantic Pseudo-Labeling-Reference-Cited by-同舟云学术

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PointCluster: Deep Clustering of 3-D Point Clouds With Semantic Pseudo-Labeling

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Xiu¹^ORCID,Han Xinxin¹,Xia Huan¹,Li Kang¹^ORCID,Zhao Haochen²,Jia Jia²,Zhen Gang²,Su Linzhi¹^ORCID,Zhao Fengjun¹^ORCID,Cao Xin¹^ORCID

Affiliation:

1. School of Information Science and Technology, Northwest University and National and Local Joint Engineering Research Center for Cultural Heritage Digitization, Xi’an, Shaanxi, China

2. No. 1 Department of Conservation and Restoration, Shaanxi Institute for the Preservation of Cultural Heritage, Xi’an, Shaanxi, China

Funder

Key Research and Development Program of Shaanxi Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10508401.pdf?arnumber=10508401

Reference59 articles.

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

2. PointCNN: Convolution on X-transformed points;Li

3. Dynamic Graph CNN for Learning on Point Clouds

4. Learning Inner-Group Relations on Point Clouds

5. Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

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