A survey on multi-modal and weakly supervised approaches for robust anomaly detection in video data

Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/168859

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DC Field	Value	Language
dc.creator	Rui Z. Barbosa
dc.creator	Hugo S. Oliveira
dc.creator	João Manuel R. S. Tavares
dc.date.accessioned	2025-08-22T23:09:33Z	-
dc.date.available	2025-08-22T23:09:33Z	-
dc.date.issued	2026-02
dc.identifier.issn	1566-2535
dc.identifier.other	sigarra:735657
dc.identifier.uri	https://hdl.handle.net/10216/168859	-
dc.language.iso	por
dc.rights	openAccess
dc.subject	Ciências Tecnológicas, Ciências da engenharia e tecnologias
dc.subject	Technological sciences, Engineering and technology
dc.title	A survey on multi-modal and weakly supervised approaches for robust anomaly detection in video data
dc.type	Artigo em Revista Científica Internacional
dc.contributor.uporto	Faculdade de Engenharia
dc.identifier.doi	10.1016/j.inffus.2025.103388
dc.subject.fos	Ciências da engenharia e tecnologias
dc.subject.fos	Engineering and technology
Appears in Collections:	FEUP - Artigo em Revista Científica Internacional

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