Self-supervised Geometric Features Discovery with Interpretable Attention for Vehicle Re-Identification and Beyond
This is the code of our ICCV21 paper.
Input arguments for the training scripts are unified in args.py.
python train.py
Use --evaluate to switch to the evaluation mode.
If you use this code in your project, please cite our paper:
@inproceedings{li2021self,
title={Self-Supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond},
author={Li, Ming and Huang, Xinming and Zhang, Ziming},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={194--204},
year={2021}
}Our code refers to ReID strong baseline and D2Net.