Corpus ID: 222295590

KrakN: Transfer Learning framework for thin crack detection in infrastructure maintenance.

  title={KrakN: Transfer Learning framework for thin crack detection in infrastructure maintenance.},
  author={Mateusz Żarski and Bartosz W{\'o}jcik and Jaroslaw Adam Miszczak},
  journal={arXiv: Computer Vision and Pattern Recognition},
  • Mateusz Żarski, Bartosz Wójcik, Jaroslaw Adam Miszczak
  • Published 2020
  • Computer Science
  • arXiv: Computer Vision and Pattern Recognition
  • Monitoring the technical condition of infrastructure is a crucial element to its maintenance. Currently applied methods are outdated, labour-intensive and inaccurate. At the same time, the latest methods using Artificial Intelligence techniques are severely limited in their application due to two main factors -- labour-intensive gathering of new datasets and high demand for computing power. We propose to utilize custom made framework -- KrakN, to overcome these limiting factors. It enables the… CONTINUE READING


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