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Transfer Learning Methods as a New Approach in Computer Vision Tasks with Small Datasets

Andrzej Brodzicki

Andrzej Brodzicki

Department of Automatic Control and Robotics, AGH University of Science and TechnologyKrakow, Poland
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Brodzicki, Andrzej
, 
Michal Piekarski

Michal Piekarski

  • Department of Automatic Control and Robotics, AGH University of Science and TechnologyKrakow, Poland
  • SOLARIS National Synchrotron Radiation Centre, Jagiellonian UniversityKrakow, Poland
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Piekarski, Michal
, 
Dariusz Kucharski

Dariusz Kucharski

Department of Automatic Control and Robotics, AGH University of Science and TechnologyKrakow, Poland
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Kucharski, Dariusz
, 
Joanna Jaworek-Korjakowska

Joanna Jaworek-Korjakowska

Department of Automatic Control and Robotics, AGH University of Science and TechnologyKrakow, Poland
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Jaworek-Korjakowska, Joanna
 and 
Marek Gorgon

Marek Gorgon

Department of Automatic Control and Robotics, AGH University of Science and TechnologyKrakow, Poland
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Gorgon, Marek
  
Sep 18, 2020
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Published Online: Sep 18, 2020
Page range: 179 - 193
Received: Feb 29, 2020
Accepted: Jul 29, 2020
DOI: https://doi.org/10.2478/fcds-2020-0010
Keywords
© 2020 Andrzej Brodzicki et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Brodzicki, Andrzej
Department of Automatic Control and Robotics, AGH University of Science and TechnologyKrakow, Poland
Piekarski, Michal
Department of Automatic Control and Robotics, AGH University of Science and TechnologyKrakow, Poland
SOLARIS National Synchrotron Radiation Centre, Jagiellonian UniversityKrakow, Poland
Kucharski, Dariusz
Department of Automatic Control and Robotics, AGH University of Science and TechnologyKrakow, Poland
Jaworek-Korjakowska, Joanna
Department of Automatic Control and Robotics, AGH University of Science and TechnologyKrakow, Poland
Gorgon, Marek
Department of Automatic Control and Robotics, AGH University of Science and TechnologyKrakow, Poland
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Artificial Intelligence, Software Development
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