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code for "Support Neighbor Loss for Person Re-Identification, ACM MM 2018"
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example_rank_lists_on_Duke
losses
script first commit Jan 9, 2019
tri_loss
README.md
label.npy first commit Jan 9, 2019
requirements.txt
run_batch_size_analysis.sh first commit Jan 9, 2019
run_batch_size_analysis1.sh first commit Jan 9, 2019
run_finetune_viper.sh
run_finetune_viper1.sh
run_test.sh first commit Jan 9, 2019
run_train.sh first commit Jan 9, 2019
run_train1.sh first commit Jan 9, 2019
run_train2.sh
run_train3.sh
run_train_cuhk01_0.sh
run_train_cuhk01_1.sh
run_train_cuhk03OS.sh
run_train_duke.sh first commit Jan 9, 2019
run_train_market_analysis.sh
run_train_reproduce.sh
run_train_reproduce1.sh first commit Jan 9, 2019
run_vis.sh
tri_loss.log
tsne-market.jpg first commit Jan 9, 2019
tsne.npy
tsne_vision.py
tsne_vision_original.py

README.md

SN_loss_for_reID

This repo contains the code for the following paper. Please cite it when you find it helps for your help. @article{li2018support, title={Support Neighbor Loss for Person Re-Identification}, author={Li, Kai and Ding, Zhengming and Li, Kunpeng and Zhang, Yulun and Fu, Yun}, journal={arXiv preprint arXiv:1808.06030}, year={2018} }

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