Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
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} }