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In defense of LSTMs for addressing multiple instance learning problems

dc.contributor.authorWang, Kaili
dc.contributor.authorOramas Mogrovejo, Jose Antonio
dc.contributor.authorTuytelaars, Tinne
dc.date.accessioned2021-10-31T12:38:42Z
dc.date.available2021-10-31T12:38:42Z
dc.date.issued2021
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/37365
dc.sourceIIOimport
dc.titleIn defense of LSTMs for addressing multiple instance learning problems
dc.typeProceedings paper
dc.contributor.imecauthorWang, Kaili
dc.contributor.imecauthorOramas Mogrovejo, Jose Antonio
dc.contributor.orcidimecOramas Mogrovejo, Jose Antonio::0000-0002-8607-5067
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage444
dc.source.endpage460
dc.source.conferenceAsian Conference on Computer Vision - ACCV 2020
dc.source.conferencedate30/11/2020
dc.source.conferencelocationKyoto Japan
dc.identifier.urlhttps://doi.org/10.1007/978-3-030-69544-6_27
imec.availabilityPublished - open access
imec.internalnotesLecture Notes in Computer Scienc; Vol. LNCS 12627


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