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postgraduate thesis: Learning data consistency for image geometry and text under indirect supervision

TitleLearning data consistency for image geometry and text under indirect supervision
Authors
Advisors
Advisor(s):Luo, PWang, WP
Issue Date2022
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Chen, N. [陳能侖]. (2022). Learning data consistency for image geometry and text under indirect supervision. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
DegreeDoctor of Philosophy
SubjectComputer vision
Image processing
Dept/ProgramComputer Science
Persistent Identifierhttp://hdl.handle.net/10722/323175

 

DC FieldValueLanguage
dc.contributor.advisorLuo, P-
dc.contributor.advisorWang, WP-
dc.contributor.authorChen, Nenglun-
dc.contributor.author陳能侖-
dc.date.accessioned2022-11-23T10:25:16Z-
dc.date.available2022-11-23T10:25:16Z-
dc.date.issued2022-
dc.identifier.citationChen, N. [陳能侖]. (2022). Learning data consistency for image geometry and text under indirect supervision. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/323175-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshComputer vision-
dc.subject.lcshImage processing-
dc.titleLearning data consistency for image geometry and text under indirect supervision-
dc.typePG_Thesis-
dc.description.thesisnameDoctor of Philosophy-
dc.description.thesislevelDoctoral-
dc.description.thesisdisciplineComputer Science-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2022-
dc.identifier.mmsid991044609100103414-

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