| Title | Learning to Predict Stability of Visual Features |
| Author | |
| DOI | |
| Publication Years | 2022
|
| ISSN | 1948-9439
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| ISBN | 978-1-6654-7897-7
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| Source Title | |
| Pages | 5545-5550
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| Conference Date | 15-17 Aug. 2022
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| Conference Place | Hefei, China
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| Keywords | |
| SUSTech Authorship | Others
|
| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10033807 |
| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/460154 |
| Department | Department of Electrical and Electronic Engineering |
| Affiliation | 1.School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China 2.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China |
| Recommended Citation GB/T 7714 |
Haihua Zou,Xubin Lin,Li He,et al. Learning to Predict Stability of Visual Features[C],2022:5545-5550.
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| Files in This Item: | There are no files associated with this item. | |||||
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