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Caffe extension submodule for Deep Metric Learning via Lifted Structured Feature Embedding

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Deep Metric Learning via Lifted Structured Feature Embedding

This repository is an extension of Caffe for the paper "Deep Metric Learning via Lifted Structured Feature Embedding" (CVPR16). Also, this is a Github submodule for the main repository at Deep-Metric-Learning-CVPR16.

Citing this work

If you find this work useful in your research, please consider citing:

@inproceedings{songCVPR16,
    Author = {Hyun Oh Song and Yu Xiang and Stefanie Jegelka and Silvio Savarese},
    Title = {Deep Metric Learning via Lifted Structured Feature Embedding},
    Booktitle = {Computer Vision and Pattern Recognition (CVPR)},
    Year = {2016}
}

Installation

  1. Install prerequisites for Caffe (see: Caffe installation instructions)

  2. Compile this caffe extension. Run make all, make test

Licence

MIT Licence

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Caffe extension submodule for Deep Metric Learning via Lifted Structured Feature Embedding

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  • C++ 79.7%
  • Python 8.3%
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