Universal Correspondence Network

This source code corresponds to the paper, "Universal Correspondence Network", as it appears in NIPS 2016. To obtain the code, please download the linked zip file and the license agreement.

Important: The following instructions must be followed exactly:

The license agreement must be signed by the appropriate manager responsible for enforcing copyright. For a student, it may be the faculty advisor. For a professor, it may be the department chair. For a researcher, it may be the lab or company manager.
All three pages of the agreement must be scanned and emailed.
Please use your official university or company email address.

You will receive a password to unzip the source repository in your offical email address.

Please cite the following paper if you find the code useful in your work:

@inproceedings{Choy_etal_2016,
  author = {Christopher B. Choy and JunYoung Gwak and Silvio Savarese and Manmohan Chandraker},
  title = {Universal Correspondence Network},
  booktitle = {Advances in Neural Information Processing Systems 29},
  editor = {D. D. Lee and M. Sugiyama and U. V. Luxburg and I. Guyon and R. Garnett},
  pages = {2414--2422},
  year = {2016},
  publisher = {Curran Associates, Inc.},
  url = {http://papers.nips.cc/paper/6487-universal-correspondence-network.pdf}
}