PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation-Reference-Cited by-同舟云学术

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PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation

Published:2024-01-03 Issue: Volume: Page:
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
language:
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Author:

Tran Anh-Thuan¹,Le Hoanh-Su²,Lee Suk-Hwan³,Kwon Ki-Ryong¹

Affiliation:

1. Pukyong National University,Department of Artificial Intelligence Convergence,South Korea

2. University of Economics and Law,Faculty of Information Systems,Ho Chi Minh City,Vietnam

3. Dong-A University,Department of Computer Engineering,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484230.pdf?arnumber=10484230

Reference34 articles.

1. 3D Semantic Parsing of Large-Scale Indoor Spaces

2. Stpls3d: A large-scale synthetic and real aerial photogrammetry 3d point cloud dataset;Chen

3. SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network

4. 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

5. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization;Pattern Recognition;2024-12

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