SqueezeMap: Fast Pedestrian Detection on a Low-Power Automotive Processor Using Efficient Convolutional Neural Networks

Cite

Text

Verbickas et al. "SqueezeMap: Fast Pedestrian Detection on a Low-Power Automotive Processor Using Efficient Convolutional Neural Networks." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017. doi:10.1109/CVPRW.2017.62

Markdown

[Verbickas et al. "SqueezeMap: Fast Pedestrian Detection on a Low-Power Automotive Processor Using Efficient Convolutional Neural Networks." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017.](https://mlanthology.org/cvprw/2017/verbickas2017cvprw-squeezemap/) doi:10.1109/CVPRW.2017.62

BibTeX

@inproceedings{verbickas2017cvprw-squeezemap,
  title     = {{SqueezeMap: Fast Pedestrian Detection on a Low-Power Automotive Processor Using Efficient Convolutional Neural Networks}},
  author    = {Verbickas, Rytis and Laganière, Robert and Laroche, Daniel and Zhu, Changyun and Xu, Xiaoyin and Ors, Ali},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2017},
  pages     = {463-471},
  doi       = {10.1109/CVPRW.2017.62},
  url       = {https://mlanthology.org/cvprw/2017/verbickas2017cvprw-squeezemap/}
}