Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
ddg 384e82002e | 5 years ago | |
---|---|---|
data | 5 years ago | |
loss | 5 years ago | |
model | 5 years ago | |
utils | 5 years ago | |
README.md | 5 years ago | |
demo.sh | 5 years ago | |
main.py | 5 years ago | |
option.py | 5 years ago | |
requirements.txt | 5 years ago | |
trainer.py | 5 years ago |
Reproduction of paper:Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Download Market1501 training data.here
In the demo.sh file, add the Market1501 directory to --datadir
run sh demo.sh
mAP | rank1 | rank3 | rank5 | rank10 | |
---|---|---|---|---|---|
2018-7-22 | 92.17 | 94.60 | 96.53 | 97.06 | 98.01 |
2018-7-24 | 93.53 | 95.34 | 97.06 | 97.68 | 98.49 |
last | 93.83 | 95.78 | 97.21 | 97.83 | 98.43 |
Download model file in here
Figure . Multiple Granularity Network architecture.
@ARTICLE{2018arXiv180401438W,
author = {{Wang}, G. and {Yuan}, Y. and {Chen}, X. and {Li}, J. and {Zhou}, X.},
title = "{Learning Discriminative Features with Multiple Granularities for Person Re-Identification}",
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
eprint = {1804.01438},
primaryClass = "cs.CV",
keywords = {Computer Science - Computer Vision and Pattern Recognition},
year = 2018,
month = apr,
adsurl = {http://adsabs.harvard.edu/abs/2018arXiv180401438W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Python Shell other
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》