AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching

David Novotný, Diane Larlus, Andrea Vedaldi. AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. In 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017. pages 2867-2876, IEEE Computer Society, 2017. [doi]

@inproceedings{NovotnyLV17-0,
  title = {AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching},
  author = {David Novotný and Diane Larlus and Andrea Vedaldi},
  year = {2017},
  doi = {10.1109/CVPR.2017.306},
  url = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.306},
  researchr = {https://researchr.org/publication/NovotnyLV17-0},
  cites = {0},
  citedby = {0},
  pages = {2867-2876},
  booktitle = {2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-0457-1},
}