Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40331
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dc.date.accessioned2023-06-08T09:21:00Z-
dc.date.available2023-06-08T09:21:00Z-
dc.date.issued2022-
dc.date.submitted2023-06-08T09:12:54Z-
dc.identifier.citationZenodo. 10.5281/zenodo.6205531 https://zenodo.org/record/6205531-
dc.identifier.urihttp://hdl.handle.net/1942/40331-
dc.description.abstractThis dataset contains the experimental results, adversarial patches and model parameters used in the paper Evaluating Feature Attribution Methods in the Image Domain.-
dc.description.sponsorshipFlemish Government: “Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen-
dc.description.sponsorshipBOF project 01D13919-
dc.language.isoen-
dc.publisherZenodo-
dc.subject.classificationComputer vision-
dc.subject.otherComputer Vision-
dc.subject.otherPattern recognition-
dc.subject.otherMachine Learning-
dc.titleEvaluating Feature Attribution Methods in the Image Domain: Benchmark results and model parameters-
dc.typeDataset-
local.bibliographicCitation.jcatDS-
dc.description.version1.0-
dc.rights.licenseCreative Commons Attribution 4.0 International (CC-BY-4.0)-
dc.identifier.doi10.5281/zenodo.6205531-
dc.identifier.urlhttps://zenodo.org/record/6205531-
local.provider.typedatacite-
local.uhasselt.internationalno-
local.contributor.datacreatorGevaert, Arne-
local.contributor.datacreatorROUSSEAU, Axel-Jan-
local.contributor.datacreatorBECKER, Thijs-
local.contributor.datacreatorVALKENBORG, Dirk-
local.contributor.datacreatorDe Bie, Tijl-
local.contributor.datacreatorSaeys, Yvan-
local.contributor.datacuratorGevaert, Arne-
local.contributor.rightsholderGevaert, Arne-
local.format.extent908.8 Mb-
local.format.mimetypezip-
local.contributororcid.datacreator0000-0003-4130-8151-
local.contributororcid.datacreator0000-0002-5662-1135-
local.contributororcid.datacreator0000-0003-3432-783X-
local.contributororcid.datacreator0000-0002-1877-3496-
local.contributororcid.datacreator0000-0002-2692-7504-
local.contributororcid.datacreator0000-0002-0415-1506-
local.contributororcid.datacurator0000-0003-4130-8151-
local.contributororcid.rightsholder0000-0003-4130-8151-
local.publication.doi10.48550/arXiv.2202.12270-
local.contributingorg.datacreatorGhent University-
local.contributingorg.datacreatorHasselt University-
local.contributingorg.datacuratorGhent University-
local.contributingorg.rightsholderGhent University-
dc.rights.accessOpen Access-
item.fulltextNo Fulltext-
item.accessRightsClosed Access-
item.fullcitationGevaert, Arne; ROUSSEAU, Axel-Jan; BECKER, Thijs; VALKENBORG, Dirk; De Bie, Tijl & Saeys, Yvan (2022) Evaluating Feature Attribution Methods in the Image Domain: Benchmark results and model parameters. Zenodo. 10.5281/zenodo.6205531 https://zenodo.org/record/6205531.-
item.contributorGevaert, Arne-
item.contributorROUSSEAU, Axel-Jan-
item.contributorBECKER, Thijs-
item.contributorVALKENBORG, Dirk-
item.contributorDe Bie, Tijl-
item.contributorSaeys, Yvan-
crisitem.discipline.code01020902-
crisitem.discipline.nameComputer vision-
crisitem.discipline.pathNatural sciences > Information and computing sciences > Visual computing > Computer vision-
crisitem.discipline.pathandcodeNatural sciences > Information and computing sciences > Visual computing > Computer vision (01020902)-
crisitem.license.codeCC-BY-4.0-
crisitem.license.nameCreative Commons Attribution 4.0 International (CC-BY-4.0)-
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