The First Prize
Team ID: BeibeiLin
Method description: pdf
Team members:
- Beibei Lin, 18126289@bjtu.edu.cn, Beijing Jiaotong University
- Shunli Zhang, slzhang@bjtu.edu.cn, Beijing Jiaotong University
- Xin Yu, xin.yu@uts.edu.au, University of Technology Sydney
- Cuihan Kong, 19121723@bjtu.edu.cn, Beijing Jiaotong University
- Chenwei Wan, 20126339@bjtu.edu.cn, Beijing Jiaotong University
GitHub Link:github.com/bb12346/GaitGL
The Second Prize
Team ID: brl
Method description: pdf
Team members:
- Tao Ding, 18308460613@163.com, Sichuan University
- Yuchao Yang, yuchao_yang@126.com, Sichuan University
- Shuiwang Li, lishuiwang0721@163.com, Sichuan University
- Qijun Zhao, qjzhao@scu.edu.cn(supervisor)), Sichuan University
The Third Prize
Team ID: panfengzhang
Method description: pdf
Team members:
- Panfeng Zhang, 839323876@qq.com, Harbin Engineering University
- Zhiqiang Song, 836048416dqg@gmail.com, Harbin Engineering University
- Xianglei Xing, xingxl@hrbeu.edu.cn, Harbin Engineering University
The Fouth Prize
Team ID: ctsu-ca
Method description: pdf
Team members:
- Jicai Pan, panjicaiz@gmail.com, University of Science and Technology of China
- Hao Sun, 1535040450@qq.com, University of Science and Technology of China
- Yi Wu, wy221711@mail.ustc.edu.cn,University of Science and Technology of China
- Shi Yin, davidyin@mail.ustc.edu.cn, University of Science and Technology of China
- Shangfei Wang, sfwang@ustc.edu.cn, University of Science and Technology of China
GitHub Link:github.com/panjicaiz/HID2020_GaitSet
Appendix: Top 10 best teams
* One of the members from Team jilongwang is from CRIPAC, Institute of Automation, Chinese Academy of Sciences which is the provider of the dataset CASIA-E. Due to the conflict of interest, the results from that team were just for evaluation and were excluded from the competition ranking.
Rank | ID | Accuracy |
---|---|---|
* | jilongwang | 66.7% |
1 | BeibeiLin | 63.0% |
2 | brl | 54.1% |
3 | panfengzhang | 53.4% |
4 | ctsu-ca | 51.5% |
5 | ywang26 | 50.3% |
6 | Wbz | 49.3% |
7 | HeHaodi | 49.2% |
8 | kouen93 | 47.9% |
9 | recognizer | 43.6% |
10 | color | 33.1% |
The full complete competition results can be found at https://competitions.codalab.org/competitions/26085#results