Zero-shot object detection with textual descriptions using convolutional neural networks

Zhang, L; Wang, X; Yao, L; Zheng, F

Zero-shot object detection with textual descriptions using convolutional neural networks

Zhang, L Wang, X

Yao, L Zheng, F

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020
Issue Date:: 2020-09-20

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Field	Value	Language
dc.contributor.author	Zhang, L
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445
dc.contributor.author	Yao, L
dc.contributor.author	Zheng, F
dc.date	2020-07-19
dc.date.accessioned	2020-04-28T06:34:34Z
dc.date.available	2020-03-21
dc.date.available	2020-04-28T06:34:34Z
dc.date.issued	2020-09-20
dc.identifier.citation	2020
dc.identifier.uri	http://hdl.handle.net/10453/140298
dc.language	en
dc.publisher	IEEE
dc.relation	http://purl.org/au-research/grants/arc/DE180100251
dc.relation.ispartof	33rd International Joint Conference on Neural Networks
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Zero-shot object detection with textual descriptions using convolutional neural networks
dc.type	Conference Proceeding
utslib.location.activity	Glasgow, UK
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2022-09-20T00:00:00+1000Z
dc.date.updated	2020-04-28T06:34:26Z
pubs.finish-date	2020-07-24
pubs.publication-status	Accepted
pubs.start-date	2020-07-19

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http://hdl.handle.net/10453/140298