Automated surface defect detection in metals: a comparative review of object detection and semantic segmentation using deep learning

dc.contributor.author	Usamentiaga Fernández, Rubén
dc.contributor.author	González Lema, Darío
dc.contributor.author	Díaz Pedrayes, Óscar
dc.contributor.author	García Martínez, Daniel Fernando
dc.date.accessioned	2022-09-06T07:28:27Z
dc.date.available	2022-09-06T07:28:27Z
dc.date.issued	2021
dc.identifier.isbn	9781728164014
dc.identifier.issn	0197-2618
dc.identifier.uri	http://hdl.handle.net/10651/64510
dc.description	IEEE Industry Applications Society Annual Meeting (IAS) (56th. 2021. Virtual)
dc.description.sponsorship	This work has been partially funded by the project RTI2018-094849-B-I00 of the Spanish National Plan for Research, Development and Innovation.
dc.language.iso	eng
dc.relation.ispartof	Conference record - ias annual meeting (IEEE industry applications society)
dc.rights	© IEEE
dc.rights	CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124693019&doi=10.1109%2fIAS48185.2021.9677231&partnerID=40&md5=5bb114798ea17463d7a48d09ae18ed2f
dc.title	Automated surface defect detection in metals: a comparative review of object detection and semantic segmentation using deep learning
dc.type	conference output	spa
dc.identifier.doi	10.1109/IAS48185.2021.9677231
dc.relation.projectID	RTI2018-094849-B-I00
dc.relation.publisherversion	http://dx.doi.org/10.1109/IAS48185.2021.9677231
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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