Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval

Understand

In recent years, hashing has attracted more and more attention owing to its superior capacity of low storage cost and high query efficiency in large-scale cross-modal retrieval.

• Benefiting from deep leaning, continuously compelling results in cross-modal retrieval community have been achieved.
• However, existing deep cross-modal hashing methods either rely on amounts of labeled information or have no ability to learn an accuracy correlation between different modalities.
• In this paper, we proposed Unsupervised coupled Cycle generative adversarial Hashing networks (UCH), for cross-modal retrieval, where outer-cycle network is used to learn powerful common representation, and inner-cycle network is explained to generate reliable hash codes.