RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features

Max Schwarz, Hannes Schulz, Sven Behnke. RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features. In IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015. pages 1329-1335, IEEE, 2015. [doi]

@inproceedings{SchwarzSB15,
  title = {RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features},
  author = {Max Schwarz and Hannes Schulz and Sven Behnke},
  year = {2015},
  doi = {10.1109/ICRA.2015.7139363},
  url = {http://dx.doi.org/10.1109/ICRA.2015.7139363},
  researchr = {https://researchr.org/publication/SchwarzSB15},
  cites = {0},
  citedby = {0},
  pages = {1329-1335},
  booktitle = {IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015},
  publisher = {IEEE},
}