A review on modern defect detection models using DCNNs – Deep convolutional neural networks()

BACKGROUND: Over the last years Deep Learning has shown to yield remarkable results when compared to traditional computer vision algorithms, in a large variety of computer vision applications. The deeplearning models outperformed in both accuracy and processing time. Thus, once a deeplearning models...

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Detalles Bibliográficos
Autores principales: Tulbure, Andrei-Alexandru, Tulbure, Adrian-Alexandru, Dulf, Eva-Henrietta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Mathematics, Engineering, and Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721352/
https://www.ncbi.nlm.nih.gov/pubmed/35024194
http://dx.doi.org/10.1016/j.jare.2021.03.015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721352/
https://www.ncbi.nlm.nih.gov/pubmed/35024194
http://dx.doi.org/10.1016/j.jare.2021.03.015

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