Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction

Edgar Simo-Serra, Hiroshi Ishikawa. Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016. pages 298-307, IEEE Computer Society, 2016. [doi]

@inproceedings{Simo-SerraI16,
  title = {Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction},
  author = {Edgar Simo-Serra and Hiroshi Ishikawa},
  year = {2016},
  doi = {10.1109/CVPR.2016.39},
  url = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.39},
  researchr = {https://researchr.org/publication/Simo-SerraI16},
  cites = {0},
  citedby = {0},
  pages = {298-307},
  booktitle = {2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016},
  publisher = {IEEE Computer Society},
  isbn = {978-1-4673-8851-1},
}