Bidirectional Self-Rectifying Networks with Bayesian Modelling for Feature Detection and Keypoint Allocation

Zhu, Q Ha, Q

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2021 International Conference on Machine Learning and Cybernetics (ICMLC), 2021, 00, pp. 1-6
Issue Date:: 2021-12-05

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Field	Value	Language
dc.contributor.author	Zhu, Q
dc.contributor.author	Ha, Q https://orcid.org/0000-0003-0978-1758
dc.date	2021-12-04
dc.date.accessioned	2022-04-29T00:50:40Z
dc.date.available	2022-04-29T00:50:40Z
dc.date.issued	2021-12-05
dc.identifier.citation	2021 International Conference on Machine Learning and Cybernetics (ICMLC), 2021, 00, pp. 1-6
dc.identifier.uri	http://hdl.handle.net/10453/156782
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2021 International Conference on Machine Learning and Cybernetics (ICMLC)
dc.relation.ispartof	2021 International Conference on Machine Learning and Cybernetics (ICMLC)
dc.relation.isbasedon	10.1109/icmlc54886.2021.9737243
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Bidirectional Self-Rectifying Networks with Bayesian Modelling for Feature Detection and Keypoint Allocation
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2022-04-29T00:50:38Z
pubs.finish-date	2021-12-05
pubs.publication-status	Published
pubs.start-date	2021-12-04
pubs.volume	00

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