DIABLO: Dictionary-based Attention Block for Deep Metric Learning

@article{Jacob2020DIABLODA,
  title={DIABLO: Dictionary-based Attention Block for Deep Metric Learning},
  author={P. Jacob and D. Picard and A. Histace and E. Klein},
  journal={Pattern Recognit. Lett.},
  year={2020},
  volume={135},
  pages={99-105}
}
  • P. Jacob, D. Picard, +1 author E. Klein
  • Published 2020
  • Computer Science
  • Pattern Recognit. Lett.
  • Abstract Recent breakthroughs in representation learning of unseen classes and examples have been made in deep metric learning by training at the same time the image representations and a corresponding metric with deep networks. Recent contributions mostly address the training part (loss functions, sampling strategies, etc.), while a few works focus on improving the discriminative power of the image representation. In this paper, we propose DIABLO, a dictionary-based attention method for image… CONTINUE READING

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