Our method has surpassed the runner-up by a large margin.
The code is available at https://github.com/layumi/AICIty-reID-2020
[Vehicle re-ID Paper Collection] https://github.com/layumi/Vehicle_reID-Collection
[Person re-ID Baseline] https://github.com/layumi/Person_reID_baseline_pytorch
[Person/Vehicle Generation] https://github.com/NVlabs/DG-Net
Please cite this paper if it helps your research:
@article{zheng2020beyond,
title={Going beyond real data: a robust visual representation for vehicle re-identification},
author={Zhedong Zheng, Minyue Jiang, Zhigang Wang, Jian Wang, Zechen Bai, Xuanmeng Zhang, Xin Yu, Xiao Tan, Yi Yang, Shilei Wen, and Errui Ding},
journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
year={2020}
}