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Benchmarking deep learning models for surface defect detection: a reproducible and statistically-rigorous approach.

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Title: Benchmarking deep learning models for surface defect detection: a reproducible and statistically-rigorous approach.
Authors: Lema, Darío G.1, gonzalezdario@uniovi.es, Sánchez-González, Lidia2, Usamentiaga, Rubén1, delaCalle, F. J.1
Source: Journal of Intelligent Manufacturing; Jul2026, Vol. 37 Issue 7, p3001-3018, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
PubTypeId: academicJournal
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      – Type: doi
        Value: 10.1007/s10845-025-02672-8
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      – Code: eng
        Text: English
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        PageCount: 18
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      – TitleFull: Benchmarking deep learning models for surface defect detection: a reproducible and statistically-rigorous approach.
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            NameFull: Sánchez-González, Lidia
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              Text: Jul2026
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              Y: 2026
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