TSG-Seg: temporal-selective guidance for semi-supervised semantic segmentation of 3D LiDAR point clouds

LiDAR-based semantic scene understanding holds a pivotal role in various applications, including remote sensing and autonomous driving. However, the majority of LiDAR segmentation models rely on extensive and densely annotated training datasets, which is extremely laborious to annotate and hinder th...

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Bibliographic Details
Main Authors: Xuan, Weihao, Qi, Heli, Xiao, Aoran.
Other Authors: College of Computing and Data Science
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/180795
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Institution: Nanyang Technological University
Language: English