Cross-Domain Knowledge Transfer Using High Dynamic Range Imaging in Synthetic Datasets

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/01969722.2022.2030004
  • Publication Date
    2022/02/01
  • Journal
    Cybernetics and Systems
  • Indian UGC (journal)
  • Refrences
    28
  • Georgia Peleka Centre for Research & Technology Hellas -CERTH, Information Technologies Institute, Thessaloniki, Greece ORCID (unauthenticated)
  • Dimitrios Sarafis Centre for Research & Technology Hellas -CERTH, Information Technologies Institute, Thessaloniki, Greece ORCID (unauthenticated)
  • Ioannis Mariolis Centre for Research & Technology Hellas -CERTH, Information Technologies Institute, Thessaloniki, Greece ORCID (unauthenticated)
  • Dimitrios Tzovaras Centre for Research & Technology Hellas -CERTH, Information Technologies Institute, Thessaloniki, Greece ORCID (unauthenticated)
Cite
Peleka, Georgia, et al. “Cross-Domain Knowledge Transfer Using High Dynamic Range Imaging in Synthetic Datasets”. Cybernetics and Systems, vol. 54, no. 3, 2022, pp. 372-86, https://doi.org/10.1080/01969722.2022.2030004.
Peleka, G., Sarafis, D., Mariolis, I., & Tzovaras, D. (2022). Cross-Domain Knowledge Transfer Using High Dynamic Range Imaging in Synthetic Datasets. Cybernetics and Systems, 54(3), 372-386. https://doi.org/10.1080/01969722.2022.2030004
Peleka G, Sarafis D, Mariolis I, Tzovaras D. Cross-Domain Knowledge Transfer Using High Dynamic Range Imaging in Synthetic Datasets. Cybernetics and Systems. 2022;54(3):372-86.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
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Refrences
Title Journal Journal Categories Citations Publication Date
Title 2015
International Workshop on Soft Computing Models in Industrial and Environmental Applications 2020
10.1109/ICCV.2019.00068
10.1109/CVPR.2017.660
null Philosophy Study 34,985 2016