R-CNN based automated visual inspection system for engine parts quality assessment - Archive ouverte HAL
Communication Dans Un Congrès Année : 2021
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hal-03431432 , version 1 (16-11-2021)

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Antoine Léger, Gaëtan Le Goïc, Éric Fauvet, David Fofi, Rémi Kornalewski. R-CNN based automated visual inspection system for engine parts quality assessment. Fifteenth International Conference on Quality Control by Artificial Vision, May 2021, Tokushima, Japan. pp.8, ⟨10.1117/12.2586575⟩. ⟨hal-03431432⟩
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