Extracting Features of Interest from Small Deep Networks for Efficient Visual Tracking

Zhao Luo, Shiming Ge, Yingying Hua, Haolin Liu, Xin Jin. Extracting Features of Interest from Small Deep Networks for Efficient Visual Tracking. In Richang Hong, Wen-Huang Cheng, Toshihiko Yamasaki, Meng Wang 0001, Chong-Wah Ngo, editors, Advances in Multimedia Information Processing - PCM 2018 - 19th Pacific-Rim Conference on Multimedia, Hefei, China, September 21-22, 2018, Proceedings, Part I. Volume 11164 of Lecture Notes in Computer Science, pages 414-425, Springer, 2018. [doi]

@inproceedings{LuoGHLJ18,
  title = {Extracting Features of Interest from Small Deep Networks for Efficient Visual Tracking},
  author = {Zhao Luo and Shiming Ge and Yingying Hua and Haolin Liu and Xin Jin},
  year = {2018},
  doi = {10.1007/978-3-030-00776-8_38},
  url = {https://doi.org/10.1007/978-3-030-00776-8_38},
  researchr = {https://researchr.org/publication/LuoGHLJ18},
  cites = {0},
  citedby = {0},
  pages = {414-425},
  booktitle = {Advances in Multimedia Information Processing - PCM 2018 - 19th Pacific-Rim Conference on Multimedia, Hefei, China, September 21-22, 2018, Proceedings, Part I},
  editor = {Richang Hong and Wen-Huang Cheng and Toshihiko Yamasaki and Meng Wang 0001 and Chong-Wah Ngo},
  volume = {11164},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-00776-8},
}