PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting

Amirgholipour, S He, X

Jia, W

Wang, D Liu, L

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Field	Value	Language
dc.contributor.author	Amirgholipour, S
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X
dc.contributor.author	Jia, W https://orcid.org/0000-0002-0940-3338
dc.contributor.author	Wang, D
dc.contributor.author	Liu, L
dc.date.accessioned	2021-04-26T15:14:55Z
dc.date.available	2021-04-26T15:14:55Z
dc.date.issued	2020-01-15
dc.identifier.citation	arXiv, 2020
dc.identifier.uri	http://hdl.handle.net/10453/148405
dc.language	en
dc.relation.ispartof	arXiv
dc.rights	info:eu-repo/semantics/openAccess
dc.title	PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting
dc.type	preprint
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 - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
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	2021-04-26T15:14:51Z

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