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Sigma Clermont

France

4 papers here167 citations across 4
fields
  • cond-mat.mes-hall2
  • eess.IV1
  • physics.optics1
ROR 02n5evf44OpenAlex

affiliations via OpenAlex

most citedWhen Deep Learning Meets Digital Image Correlation

157 citations

researchers with a paper here
  • D. Solnyshkov2 · h 47
  • Feng Li2 profiles2 · h 17
  • G. Malpuech2 · h 61
  • Yiming Li2
  • A. Moreau1 · h 21
  • Armel Pitelet1
  • B. Blaysat1
  • E. Centeno1 · h 20
  • F. Berry1
  • F. Sur1
  • H. Fu1
  • Jiahuan Ren1
collaborating institutions
  • Centre National de la Recherche ScientifiqueFR4 papers
  • Institut PascalFR4 papers
  • University of Clermont Auvergne3 papers
  • Université Clermont AuvergneFR2 papers
  • Capital Normal UniversityCN1 paper
  • Clermont UniversitéFR1 paper
  • Collaborative Innovation Center of Chemical Science and Engineering TianjinCN1 paper
  • Institut Universitaire de FranceFR1 paper
  • Laboratoire d'Informatique, de Modélisation et d'Optimisation des SystèmesFR1 paper
  • Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsFR1 paper
  • Tianjin UniversityCN1 paper
  • Université de LorraineFR1 paper
Showing eess.IVShow all

1 paper · 1 filter

eess.IV2020★ 157 cited

When Deep Learning Meets Digital Image Correlation

S. Boukhtache, K. Abdelouahab, F. Berry +3

Convolutional Neural Networks (CNNs) constitute a class of Deep Learning models which have been used in the recent past to resolve many problems in computer vision, in particular o…

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