Multistep hybrid learning: CNN driven by spatial-temporal features for faults detection on metallic surfaces

Riccardo Fantinel, Angelo Cenedese. Multistep hybrid learning: CNN driven by spatial-temporal features for faults detection on metallic surfaces. J. Electronic Imaging, 29(04):41005, 2020. [doi]

@article{FantinelC20,
  title = {Multistep hybrid learning: CNN driven by spatial-temporal features for faults detection on metallic surfaces},
  author = {Riccardo Fantinel and Angelo Cenedese},
  year = {2020},
  doi = {10.1117/1.JEI.29.4.041005},
  url = {https://doi.org/10.1117/1.JEI.29.4.041005},
  researchr = {https://researchr.org/publication/FantinelC20},
  cites = {0},
  citedby = {0},
  journal = {J. Electronic Imaging},
  volume = {29},
  number = {04},
  pages = {41005},
}