In this repo, we include the 1st Place submission to AICity Challenge 2020 re-id track (Baidu-UTS submission) [Paper]
We fuse the models trained on Paddlepaddle and Pytorch. To illustrate them, we provide the two training parts seperatively as following.
- We include the Paddlepaddle training code at Here (will update soon).
- We include the Pytorch training code at Here.
AICITY2020 Challange Track2 Leaderboard
| TeamName | mAP | Link |
|---|---|---|
| Baidu-UTS(Ours) | 84.1% | code |
| RuiYanAI | 78.1% | code |
| DMT | 73.1% | code |
[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