A heterogeneous branch and multi-level classification network for person re-identification

2 Jun 2020 Jiabao Wang Yang Li Yangshuo Zhang Zhuang Miao Rui Zhang

Convolutional neural networks with multiple branches have recently been proved highly effective in person re-identification (re-ID). Researchers design multi-branch networks using part models, yet they always attribute the effectiveness to multiple parts... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper