OPOCA: One Point One Class Annotation for LiDAR Point Cloud Semantic Segmentation-Reference-Cited by-同舟云学术

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OPOCA: One Point One Class Annotation for LiDAR Point Cloud Semantic Segmentation

Published:2024 Issue: Volume:62 Page:1-10
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Huang Weijie¹^ORCID,Zou Pufan¹^ORCID,Xia Yan²^ORCID,Wen Chenglu¹^ORCID,Zang Yu¹^ORCID,Wang Cheng¹^ORCID,Zhou Guoqing³

Affiliation:

1. School of Informatics, Xiamen University, Xiamen, China

2. School of Computation, Information and Technology, Technical University of Munich, Garching, Germany

3. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10415359.pdf?arnumber=10415359

Reference52 articles.

1. Novel Convolutions for Semantic Segmentation of Remote Sensing Images

2. Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving

3. 3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds

4. CasA: A Cascade Attention Network for 3-D Object Detection From LiDAR Point Clouds

5. VPC-Net: Completion of 3D vehicles from MLS point clouds

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