PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
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Author / Creator
Xu, Jinfeng , Yang, Siyuan , Li, Xianzhi , Tang, Yuan , Yixue Hao , Hu, Long and Chen, Min
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Existing point cloud semantic segmentation networks cannot identify unknown classes and update their knowledge, due to a closed-set and static perspective of the real world, which would induce the intelligent agent to make bad decisions. To address this problem, we propose a Probability-Driven Framework (PDF) for open world semantic segmentation th...
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Full title
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_3030950593
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3030950593
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E-ISSN
2331-8422
