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Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles

Kamilaris Andreas; van den Brink Corjan; Karatsiolis Savvas


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@inproceedings{kamilaris_andreas_2019_3523006,
  author       = {Kamilaris Andreas and
                  van den Brink Corjan and
                  Karatsiolis Savvas},
  title        = {{Training Deep Learning Models via Synthetic Data: 
                   Application in Unmanned Aerial Vehicles}},
  booktitle    = {{Computer Analysis of Images and Patterns. CAIP 
                   2019. Communications in Computer and Information
                   Science, vol 1089}},
  year         = 2019,
  pages        = {81-90},
  publisher    = {Springer International Publishing},
  address      = {Cham},
  month        = oct,
  note         = {{This work has been partly supported by the project 
                   that has received funding from the European
                   Union's Horizon 2020 research and innovation
                   programme under grant agreement No 739578 (RISE –
                   Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2)
                   and the Government of the Republic of Cyprus
                   through the Directorate General for European
                   Programmes, Coordination and Development.}},
  doi          = {10.5281/zenodo.3523006},
  url          = {https://doi.org/10.5281/zenodo.3523006}
}
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