Title | HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation |
Author | |
DOI | |
Publication Years | 2023
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ISSN | 1063-6919
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ISBN | 979-8-3503-0130-4
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Source Title | |
Pages | 17163-17173
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Conference Date | 17-24 June 2023
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Conference Place | Vancouver, BC, Canada
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Keywords | |
SUSTech Authorship | First
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URL | [Source Record] |
Indexed By | |
WOS Accession No | WOS:001062531301045
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10204635 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Conference paper |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559172 |
Department | Department of Mechanical and Energy Engineering |
Affiliation | 1.Department of Mechanical and Energy Engineering, Southern University of Science and Technology 2.School of Computer Science, University of Birmingham |
First Author Affilication | Department of Mechanical and Energy Engineering |
First Author's First Affilication | Department of Mechanical and Energy Engineering |
Recommended Citation GB/T 7714 |
Linfang Zheng,Chen Wang,Yinghan Sun,et al. HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation[C],2023:17163-17173.
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