rksltnl / Caffe-Deep-Metric-Learning-CVPR16

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

About

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

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Language:C++ 79.7%Language:Python 8.3%Language:Cuda 5.6%Language:CMake 2.8%Language:Protocol Buffer 1.6%Language:MATLAB 0.9%Language:Makefile 0.7%Language:Shell 0.4%Language:M 0.0%