Training a convolutional neural network for multi-class object detection using solely virtual world data

Erik Bochinski, Volker Eiselein, Thomas Sikora. Training a convolutional neural network for multi-class object detection using solely virtual world data. In 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016, Colorado Springs, CO, USA, August 23-26, 2016. pages 278-285, IEEE Computer Society, 2016. [doi]

@inproceedings{BochinskiES16,
  title = {Training a convolutional neural network for multi-class object detection using solely virtual world data},
  author = {Erik Bochinski and Volker Eiselein and Thomas Sikora},
  year = {2016},
  doi = {10.1109/AVSS.2016.7738056},
  url = {http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738056},
  researchr = {https://researchr.org/publication/BochinskiES16},
  cites = {0},
  citedby = {0},
  pages = {278-285},
  booktitle = {13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016, Colorado Springs, CO, USA, August 23-26, 2016},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5090-3811-4},
}