Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings

@article{Morgado2021DeepHW,
  title={Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings},
  author={Pedro Morgado and Yunsheng Li and Jose Costa Pereira and Mohammad J. Saberian and Nuno Vasconcelos},
  journal={International Journal of Computer Vision},
  year={2021},
  volume={129},
  pages={419-438}
}
Image hash codes are produced by binarizing the embeddings of convolutional neural networks (CNN) trained for either classification or retrieval. While proxy embeddings achieve good performance on both tasks, they are non-trivial to binarize, due to a rotational ambiguity that encourages non-binary embeddings. The use of a fixed set of proxies (weights of the CNN classification layer) is proposed to eliminate this ambiguity, and a procedure to design proxy sets that are nearly optimal for both… 
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