Learning visual features for relational CBIR

  title={Learning visual features for relational CBIR},
  author={N. Messina and G. Amato and Fabio Carrara and F. Falchi and C. Gennaro},
  journal={International Journal of Multimedia Information Retrieval},
  • N. Messina, G. Amato, +2 authors C. Gennaro
  • Published 2019
  • Computer Science
  • International Journal of Multimedia Information Retrieval
  • Recent works in deep-learning research highlighted remarkable relational reasoning capabilities of some carefully designed architectures. In this work, we employ a relationship-aware deep learning model to extract compact visual features used relational image descriptors. In particular, we are interested in relational content-based image retrieval (R-CBIR), a task consisting in finding images containing similar inter-object relationships. Inspired by the relation networks (RN) employed in… CONTINUE READING
    5 Citations


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