Visual Explanation for Deep Metric Learning

@article{Zhu2021VisualEF,
  title={Visual Explanation for Deep Metric Learning},
  author={Sijie Zhu and Taojiannan Yang and Chen Chen},
  journal={IEEE Transactions on Image Processing},
  year={2021},
  volume={30},
  pages={7593-7607}
}
This work explores the visual explanation for deep metric learning and its applications. As an important problem for learning representation, metric learning has attracted much attention recently, while the interpretation of the metric learning model is not as well-studied as classification. To this end, we propose an intuitive idea to show where contributes the most to the overall similarity of two input images by decomposing the final activation. Instead of only providing the overall… 

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