2017

DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer

Chen, Yuntao, Wang, Naiyan, Zhang, Zhaoxiang

Understand

We have witnessed rapid evolution of deep neural network architecture design in the past years.

  • These latest progresses greatly facilitate the developments in various areas such as computer vision and natural language processing.
  • However, along with the extraordinary performance, these state-of-the-art models also bring in expensive computational cost.
  • Directly deploying these models into applications with real-time requirement is still infeasible.

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