Closing the Simulation-to-Reality Gap using Generative Neural Networks: Training Object Detectors for Soccer Robotics in Simulation as a Case Study

Nicols Cruz, Javier Ruiz-del-Solar. Closing the Simulation-to-Reality Gap using Generative Neural Networks: Training Object Detectors for Soccer Robotics in Simulation as a Case Study. In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020. pages 1-8, IEEE, 2020. [doi]

@inproceedings{CruzR20-0,
  title = {Closing the Simulation-to-Reality Gap using Generative Neural Networks: Training Object Detectors for Soccer Robotics in Simulation as a Case Study},
  author = {Nicols Cruz and Javier Ruiz-del-Solar},
  year = {2020},
  doi = {10.1109/IJCNN48605.2020.9207173},
  url = {https://doi.org/10.1109/IJCNN48605.2020.9207173},
  researchr = {https://researchr.org/publication/CruzR20-0},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6926-2},
}