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ddg 384e82002e | 5 年前 | |
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data | 5 年前 | |
loss | 5 年前 | |
model | 5 年前 | |
utils | 5 年前 | |
README.md | 5 年前 | |
demo.sh | 5 年前 | |
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trainer.py | 5 年前 |
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
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