Generalized Product Quantization Network for Semi-Supervised Image Retrieval

@article{Jang2020GeneralizedPQ,
  title={Generalized Product Quantization Network for Semi-Supervised Image Retrieval},
  author={Young Kyun Jang and Nam Ik Cho},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={3417-3426}
}
  • Young Kyun Jang, N. Cho
  • Published 2020
  • Computer Science
  • 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Image retrieval methods that employ hashing or vector quantization have achieved great success by taking advantage of deep learning. However, these approaches do not meet expectations unless expensive label information is sufficient. To resolve this issue, we propose the first quantization-based semi-supervised image retrieval scheme: Generalized Product Quantization (GPQ) network. We design a novel metric learning strategy that preserves semantic similarity between labeled data, and employ… Expand
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