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caffe-re-id

This is the code for paper: Person Re-Identification via Recurrent Feature Aggregation, Yichao Yan, Bingbing Ni, Zhichao Song, chao Ma, Yan Yan, xiaokang Yang, In ECCV 2016.

Tested on Ubuntu 14.04. Compile by the command line:

make all

make pycaffe

See examples/re-id for the examples in our paper.

Please cite our paper in your publications if it helps your research:

@inproceedings{DBLP:conf/eccv/YanNSMYY16,
  author = {Yichao Yan and Bingbing Ni and
           Zhichao Song and
           Chao Ma and
           Yan Yan and
           Xiaokang Yang},
  title     = {Person Re-identification via Recurrent Feature Aggregation},
  booktitle = {Computer Vision - {ECCV} 2016 - 14th European Conference, Amsterdam,
           The Netherlands, October 11-14, 2016, Proceedings, Part {VI}},
  pages     = {701--716},
  year      = {2016}
}

Caffe

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and community contributors.

Check out the project site for all the details like

and step-by-step examples.

Join the chat at https://gitter.im/BVLC/caffe

Please join the caffe-users group or gitter chat to ask questions and talk about methods and models. Framework development discussions and thorough bug reports are collected on Issues.

Happy brewing!

License and Citation

Caffe is released under the BSD 2-Clause license. The BVLC reference models are released for unrestricted use.

Please cite Caffe in your publications if it helps your research:

@article{jia2014caffe,
  Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
  Journal = {arXiv preprint arXiv:1408.5093},
  Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
  Year = {2014}
}

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