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Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks

 
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cris.virtual.orcid0000-0002-2110-9318
cris.virtual.orcid0000-0003-0908-1655
cris.virtual.orcid0000-0003-1006-1838
cris.virtualsource.departmentf0d5bccf-41f1-4deb-b528-9fc4dffa3f88
cris.virtualsource.department8722db29-0da3-40ce-9be7-3317c87c8a92
cris.virtualsource.department8916b106-a388-4b3a-a602-36138802b449
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cris.virtualsource.orcid8916b106-a388-4b3a-a602-36138802b449
dc.contributor.authorYang, Yuqing
dc.contributor.authorMahmoudpour, Saeed
dc.contributor.authorSchelkens, Peter
dc.contributor.authorDeligiannis, Nikolaos
dc.contributor.imecauthorYang, Yuqing
dc.contributor.imecauthorMahmoudpour, Saeed
dc.contributor.imecauthorSchelkens, Peter
dc.contributor.orcidimecYang, Yuqing::0000-0002-2110-9318
dc.contributor.orcidimecMahmoudpour, Saeed::0000-0003-1006-1838
dc.contributor.orcidimecSchelkens, Peter::0000-0003-0908-1655
dc.date.accessioned2024-03-21T14:04:11Z
dc.date.available2023-09-10T17:26:45Z
dc.date.available2024-03-21T14:04:11Z
dc.date.issued2023
dc.description.wosFundingTextThis research received funding from the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme, from the FWO (Grant G0A4720N), and from imec through AAA project Trustworthy AI Methods (TAIM).
dc.identifier.doi10.1109/QOMEX58391.2023.10178510
dc.identifier.eisbn979-8-3503-1173-0
dc.identifier.issn2372-7179
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/42508
dc.publisherIEEE
dc.source.beginpage159
dc.source.conference15th International Conference on Quality of Multimedia Experience (QoMEX) - Towards Sustainable and Inclusive Multimedia Experiences
dc.source.conferencedateJUN 20-22, 2023
dc.source.conferencelocationGhent
dc.source.endpage164
dc.source.journalN/A
dc.source.numberofpages6
dc.title

Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks

dc.typeProceedings paper
dspace.entity.typePublication
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