Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing

Wu, J Jiang, Z Wen, S

Men, A Wang, H

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Field	Value	Language
dc.contributor.author	Wu, J
dc.contributor.author	Jiang, Z
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Men, A
dc.contributor.author	Wang, H
dc.date.accessioned	2024-02-01T08:14:04Z
dc.date.available	2024-02-01T08:14:04Z
dc.date.issued	2021-05-30
dc.identifier.citation	arXiv, 2021
dc.identifier.uri	http://hdl.handle.net/10453/175252
dc.language	en
dc.relation.ispartof	arXiv
dc.relation.isbasedon	10.48550/arxiv.2105.14430
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing
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 - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	open_access	*
dc.date.updated	2024-02-01T08:14:03Z

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