Hard-Aware Deeply Cascaded Embedding

@article{Yuan2017HardAwareDC,
  title={Hard-Aware Deeply Cascaded Embedding},
  author={Yuhui Yuan and Kuiyuan Yang and Chao Zhang},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={814-823}
}
Riding on the waves of deep neural networks, deep metric learning has achieved promising results in various tasks by using triplet network or Siamese network. Though the basic goal of making images from the same category closer than the ones from different categories is intuitive, it is hard to optimize the objective directly due to the quadratic or cubic sample size. Hard example mining is widely used to solve the problem, which spends the expensive computation on a subset of samples that are… CONTINUE READING
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