Heterogeneous Multi-task Learning on Non-overlapping Datasets for Facial Landmark Detection

Takayuki Semitsu, Xiongxin Zhao, Wataru Matsumoto. Heterogeneous Multi-task Learning on Non-overlapping Datasets for Facial Landmark Detection. In Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu, editors, Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III. Volume 9949 of Lecture Notes in Computer Science, pages 616-625, 2016. [doi]

@inproceedings{SemitsuZM16,
  title = {Heterogeneous Multi-task Learning on Non-overlapping Datasets for Facial Landmark Detection},
  author = {Takayuki Semitsu and Xiongxin Zhao and Wataru Matsumoto},
  year = {2016},
  doi = {10.1007/978-3-319-46675-0_68},
  url = {http://dx.doi.org/10.1007/978-3-319-46675-0_68},
  researchr = {https://researchr.org/publication/SemitsuZM16},
  cites = {0},
  citedby = {0},
  pages = {616-625},
  booktitle = {Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III},
  editor = {Akira Hirose and Seiichi Ozawa and Kenji Doya and Kazushi Ikeda and Minho Lee and Derong Liu},
  volume = {9949},
  series = {Lecture Notes in Computer Science},
  isbn = {978-3-319-46674-3},
}