Unsupervised Pre-training for Person Re-identification
LUPerson
The repository is for our CVPR2021 paper Unsupervised Pre-training for Person Re-identification.
LUPerson Dataset
LUPerson is currently the largest unlabeled dataset for Person Re-identification, which is used for Unsupervised Pre-training. LUPerson consists of 4M images of over 200K identities and covers a much diverse range of capturing environments.
Details can be found at ./LUP.
Pre-trained Models
Finetuned Results
For MGN with ResNet50:
| Dataset | mAP | cmc1 | path |
|---|---|---|---|
| MSMT17 | 66.06/79.93 | 85.08/87.63 | MSMT |
| DukeMTMC | 82.27/91.70 | 90.35/92.82 | Duke |
| Market1501 | 91.12/96.16 | 96.26/97.12 | Market |
| CUHK03-L | 74.54/85.84 | 74.64/82.86 | CUHK03 |
These numbers are a little different from those reported in our paper, and most are slightly better.
For MGN with ResNet101:
| Dataset | mAP | cmc1 | path |
|---|---|---|---|
| MSMT17 | 68.41/81.12 | 86.28/88.27 | – |
| DukeMTMC | 84.15/92.77 | 91.88/93.99 | – |
| Market1501 | 91.86/96.21 | 96.56/97.03 |