Reliability-adaptive consistency regularization for weakly-supervised point cloud segmentation

Weakly-supervised point cloud segmentation with extremely limited labels is highly desirable to alleviate the expensive costs of collecting densely annotated 3D points. This paper explores applying the consistency regularization that is commonly used in weakly-supervised learning, for its point clou...

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Bibliographic Details
Main Authors: Wu, Zhonghua, Wu, Yicheng, Lin, Guosheng, Cai, Jianfei
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/176275
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Institution: Nanyang Technological University
Language: English

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