{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deep-cross-modal-hashing-1","title":"Deep Cross-Modal Hashing","arxiv_id":"1602.02255","date":"2016-02-15","proceeding":"CVPR 2017 7","authors":["Jiang Qing-Yuan","Li Wu-Jun"],"abstract":"Due to its low storage cost and fast query speed, cross-modal hashing (CMH)\nhas been widely used for similarity search in multimedia retrieval\napplications. However, almost all existing CMH methods are based on\nhand-crafted features which might not be optimally compatible with the\nhash-code learning procedure. As a result, existing CMH methods with\nhandcrafted features may not achieve satisfactory performance. In this paper,\nwe propose a novel cross-modal hashing method, called deep crossmodal hashing\n(DCMH), by integrating feature learning and hash-code learning into the same\nframework. DCMH is an end-to-end learning framework with deep neural networks,\none for each modality, to perform feature learning from scratch. Experiments on\ntwo real datasets with text-image modalities show that DCMH can outperform\nother baselines to achieve the state-of-the-art performance in cross-modal\nretrieval applications.","url_abs":"http://arxiv.org/abs/1602.02255v2","url_pdf":"http://arxiv.org/pdf/1602.02255v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deep-cross-modal-hashing-1","repo_url":"https://github.com/jiangqy/DCMH-CVPR2017","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"deep-cross-modal-hashing-1","repo_url":"https://github.com/WendellGul/DCMH","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"cross-modal-retrieval","task_name":"Cross-Modal Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1602.02255","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}