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Industrial object, machine part and defect recognition towards fully
  automated industrial monitoring employing deep learning. The case of
  multilevel VGG19

Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19

Journal of Ambient Intelligence and Humanized Computing (JAIHC), 2020
23 November 2020
Ioannis D. Apostolopoulos
Mpesiana A. Tzani
ArXiv (abs)PDFHTML

Papers citing "Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19"

1 / 1 papers shown
Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly
  Detection
Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection
Yunbo Long
Zhengyang Ling
Sam Brook
Duncan McFarlane
Alexandra Brintrup
361
2
0
24 Sep 2024
1
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