| Title | Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment |
| Author | |
| DOI | |
| Publication Years | 2023
|
| ISSN | 1945-7928
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| ISBN | 978-1-6654-7359-0
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| Source Title | |
| Pages | 1-5
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| Conference Date | 18-21 April 2023
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| Conference Place | Cartagena, Colombia
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| Keywords | |
| SUSTech Authorship | First
|
| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10230810 |
| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559164 |
| Department | Department of Electrical and Electronic Engineering |
| Affiliation | Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China |
| First Author Affilication | Department of Electrical and Electronic Engineering |
| First Author's First Affilication | Department of Electrical and Electronic Engineering |
| Recommended Citation GB/T 7714 |
Juntao Chen,Li Lin,Pujin Cheng,et al. Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment[C],2023:1-5.
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| Files in This Item: | There are no files associated with this item. | |||||
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