来自 | 知乎 作者 | Sherlock
链接 | https://zhuanlan.zhihu.com/p/144944220
编辑 | 深度学习这件小事
引言
FastReID 平台已经成为京东人工智能研究（JD AI Research）的开源项目之一，它是面向学术界和工业界的落地项目，主要用于研究和商业落地。
先放上 Github 链接：
https://github.com/JDAI-CV/fast-reid
接下来会分享开发 FastReID 初衷以及 FastReID 的特点。
动机
一些新特性
,)
未来的一些改进方向
-
目前的多卡训练还是基于 DataParallel来实现的，会存在负载不均衡，速度损失以及无法实现多机的缺点，我们正在用DistributedDataParallel来替换DataParallel。 -
模型转换，量化和蒸馏小模型等部分的代码还没有搞定，后续会慢慢开源一部分。 -
可能会考虑将 FastReID 推广到通用的 image retrieval 上。
结语
[1] Luo, Hao and Gu, Youzhi and Liao, Xingyu and Lai, Shenqi and Jiang, Wei. Bag of Tricks and a Strong Baseline for Deep Person Re-Identification.
[2] Wang, G. and Yuan, Y. and Chen, X. and Li, J. and Zhou, X. Learning Discriminative Features with Multiple Granularities for Person Re-Identification.
[3] Ye, Mang and Shen, Jianbing and Lin, Gaojie and Xiang, Tao and Shao, Ling and Hoi, Steven C. H.Deep Learning for Person Re-identification: A Survey and Outlook.
[4] Y. Sun, C. Cheng, Y. Zhang, C. Zhang, L. Zheng, Z. Wang, Y. Wei. Circle Loss: A Unified Perspective of Pair Similarity Optimization.
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