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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/ideal/RubioCJGCSR20>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Daniel_Castro_Silva>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Daniel_Garrido>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Henrique_Lopes_Cardoso>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jo%E2%88%9A%C2%A3o_Jacob>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jos%E2%88%9A%C2%A9_Aleixo_Cruz>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Rui_Rodrigues_0001>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Thiago_R._P._M._R%E2%88%9A%C4%BCbio>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2F978-3-030-62365-4%5F59>
foaf:homepage <https://doi.org/10.1007/978-3-030-62365-4_59>
dc:identifier DBLP conf/ideal/RubioCJGCSR20 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F978-3-030-62365-4%5F59 (xsd:string)
dcterms:issued 2020 (xsd:gYear)
rdfs:label A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Daniel_Castro_Silva>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Daniel_Garrido>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Henrique_Lopes_Cardoso>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jo%E2%88%9A%C2%A3o_Jacob>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jos%E2%88%9A%C2%A9_Aleixo_Cruz>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Rui_Rodrigues_0001>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Thiago_R._P._M._R%E2%88%9A%C4%BCbio>
swrc:pages 602-609 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/ideal/2020-2>
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owl:sameAs <http://dblp.rkbexplorer.com/id/conf/ideal/RubioCJGCSR20>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/ideal/ideal2020-2.html#RubioCJGCSR20>
rdfs:seeAlso <https://doi.org/10.1007/978-3-030-62365-4_59>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/ideal>
dc:title A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document