{"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/feature-learning-based-deep-supervised","title":"Feature Learning based Deep Supervised Hashing with Pairwise Labels","arxiv_id":"1511.03855","date":"2015-11-12","proceeding":null,"authors":["Wu-Jun Li","Sheng Wang","Wang-Cheng Kang"],"abstract":"Recent years have witnessed wide application of hashing for large-scale image\nretrieval. However, most existing hashing methods are based on hand-crafted\nfeatures which might not be optimally compatible with the hashing procedure.\nRecently, deep hashing methods have been proposed to perform simultaneous\nfeature learning and hash-code learning with deep neural networks, which have\nshown better performance than traditional hashing methods with hand-crafted\nfeatures. Most of these deep hashing methods are supervised whose supervised\ninformation is given with triplet labels. For another common application\nscenario with pairwise labels, there have not existed methods for simultaneous\nfeature learning and hash-code learning. In this paper, we propose a novel deep\nhashing method, called deep pairwise-supervised hashing(DPSH), to perform\nsimultaneous feature learning and hash-code learning for applications with\npairwise labels. Experiments on real datasets show that our DPSH method can\noutperform other methods to achieve the state-of-the-art performance in image\nretrieval applications.","url_abs":"http://arxiv.org/abs/1511.03855v2","url_pdf":"http://arxiv.org/pdf/1511.03855v2.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":"feature-learning-based-deep-supervised","repo_url":"https://github.com/yujiapingyu/Deep-Hashing","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"deep-hashing","task_name":"Deep Hashing"},{"task_slug":"image-retrieval","task_name":"Image Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":null,"task_name":"Triplet"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1511.03855","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}