AMEN: Adversarial Multi-space Embedding Network for Text-Based Person Re-identification

Zijie Wang, Jingyi Xue, Aichun Zhu, Yifeng Li, Mingyi Zhang, Chongliang Zhong. AMEN: Adversarial Multi-space Embedding Network for Text-Based Person Re-identification. In Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu 0001, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao 0001, editors, Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II. Volume 13020 of Lecture Notes in Computer Science, pages 462-473, Springer, 2021. [doi]

@inproceedings{WangXZLZZ21,
  title = {AMEN: Adversarial Multi-space Embedding Network for Text-Based Person Re-identification},
  author = {Zijie Wang and Jingyi Xue and Aichun Zhu and Yifeng Li and Mingyi Zhang and Chongliang Zhong},
  year = {2021},
  doi = {10.1007/978-3-030-88007-1_38},
  url = {https://doi.org/10.1007/978-3-030-88007-1_38},
  researchr = {https://researchr.org/publication/WangXZLZZ21},
  cites = {0},
  citedby = {0},
  pages = {462-473},
  booktitle = {Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II},
  editor = {Huimin Ma and Liang Wang and Changshui Zhang and Fei Wu 0001 and Tieniu Tan and Yaonan Wang and Jianhuang Lai and Yao Zhao 0001},
  volume = {13020},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-88007-1},
}