A comparative study of deep learning models for crack detection and measurement

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dc.contributor.authorKim, Jinko
dc.contributor.authorCha, Yohanko
dc.contributor.authorCho, Gye-Chunko
dc.date.accessioned2020-12-29T01:30:12Z-
dc.date.available2020-12-29T01:30:12Z-
dc.date.created2020-12-02-
dc.date.issued2020-08-27-
dc.identifier.citationASEM20-
dc.identifier.urihttp://hdl.handle.net/10203/279208-
dc.languageEnglish-
dc.publisherInternational Association of Structural engineering and mechanics-
dc.titleA comparative study of deep learning models for crack detection and measurement-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameASEM20-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationon-line(zoom)-
dc.contributor.localauthorCho, Gye-Chun-
dc.contributor.nonIdAuthorKim, Jin-
dc.contributor.nonIdAuthorCha, Yohan-
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CE-Conference Papers(학술회의논문)
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