"How to get pavement distress detection ready for deep learning? A ..."

Markus Eisenbach et al. (2017)

> Home

Details and statistics

DOI: 10.1109/IJCNN.2017.7966101

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ijcnn/EisenbachSSADSE17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcnn/EisenbachSSADSE17
Markus Eisenbach, Ronny Stricker, Daniel Seichter, Karl Amende, Klaus Debes, Maximilian Sesselmann, Dirk Ebersbach, Ulrike Stoeckert, Horst-Michael Gross:
How to get pavement distress detection ready for deep learning? A systematic approach. IJCNN 2017: 2039-2047

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.