• Skip to main content
  • Skip to primary sidebar
AAAI

AAAI

Association for the Advancement of Artificial Intelligence

    • AAAI

      AAAI

      Association for the Advancement of Artificial Intelligence

  • About AAAIAbout AAAI
    • AAAI Officers and Committees
    • AAAI Staff
    • Bylaws of AAAI
    • AAAI Awards
      • Fellows Program
      • Classic Paper Award
      • Dissertation Award
      • Distinguished Service Award
      • Allen Newell Award
      • Outstanding Paper Award
      • Award for Artificial Intelligence for the Benefit of Humanity
      • Feigenbaum Prize
      • Patrick Henry Winston Outstanding Educator Award
      • Engelmore Award
      • AAAI ISEF Awards
      • Senior Member Status
      • Conference Awards
    • AAAI Resources
    • AAAI Mailing Lists
    • Past AAAI Presidential Addresses
    • Presidential Panel on Long-Term AI Futures
    • Past AAAI Policy Reports
      • A Report to ARPA on Twenty-First Century Intelligent Systems
      • The Role of Intelligent Systems in the National Information Infrastructure
    • AAAI Logos
    • News
  • aaai-icon_ethics-diversity-line-yellowEthics & Diversity
  • Conference talk bubbleConferences & Symposia
    • AAAI Conference
    • AIES AAAI/ACM
    • AIIDE
    • IAAI
    • ICWSM
    • HCOMP
    • Spring Symposia
    • Summer Symposia
    • Fall Symposia
    • Code of Conduct for Conferences and Events
  • PublicationsPublications
    • AAAI Press
    • AI Magazine
    • Conference Proceedings
    • AAAI Publication Policies & Guidelines
    • Request to Reproduce Copyrighted Materials
  • aaai-icon_ai-magazine-line-yellowAI Magazine
    • Issues and Articles
    • Author Guidelines
    • Editorial Focus
  • MembershipMembership
    • Member Login
    • Developing Country List
    • AAAI Chapter Program

  • Career CenterCareer Center
  • aaai-icon_ai-topics-line-yellowAITopics
  • aaai-icon_contact-line-yellowContact

Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval

February 1, 2023

Download PDF

Authors

Chao Li

Xidian University


Cheng Deng

Xidian University


Lei Wang

Xidian University


De Xie

XiDian University


Xianglong Liu

Beihang University


DOI:

10.1609/aaai.v33i01.3301176


Abstract:

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. Specifically, our proposed UCH seamlessly couples these two networks with generative adversarial mechanism, which can be optimized simultaneously to learn representation and hash codes. Extensive experiments on three popular benchmark datasets show that the proposed UCH outperforms the state-of-the-art unsupervised cross-modal hashing methods.

Topics: AAAI

Primary Sidebar

HOW TO CITE:

Chao Li||Cheng Deng||Lei Wang||De Xie||Xianglong Liu Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval Proceedings of the AAAI Conference on Artificial Intelligence (2019) 176-183.

Chao Li||Cheng Deng||Lei Wang||De Xie||Xianglong Liu Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval AAAI 2019, 176-183.

Chao Li||Cheng Deng||Lei Wang||De Xie||Xianglong Liu (2019). Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence, 176-183.

Chao Li||Cheng Deng||Lei Wang||De Xie||Xianglong Liu. Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.176-183.

Chao Li||Cheng Deng||Lei Wang||De Xie||Xianglong Liu. 2019. Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. "Proceedings of the AAAI Conference on Artificial Intelligence". 176-183.

Chao Li||Cheng Deng||Lei Wang||De Xie||Xianglong Liu. (2019) "Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval", Proceedings of the AAAI Conference on Artificial Intelligence, p.176-183

Chao Li||Cheng Deng||Lei Wang||De Xie||Xianglong Liu, "Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval", AAAI, p.176-183, 2019.

Chao Li||Cheng Deng||Lei Wang||De Xie||Xianglong Liu. "Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.176-183.

Chao Li||Cheng Deng||Lei Wang||De Xie||Xianglong Liu. "Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 176-183.

Chao Li||Cheng Deng||Lei Wang||De Xie||Xianglong Liu. Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. AAAI[Internet]. 2019[cited 2023]; 176-183.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
Cookie SettingsAccept All
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT