{"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/learning-deep-feature-representations-with","title":"Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification","arxiv_id":"1604.07528","date":"2016-04-26","proceeding":"CVPR 2016 6","authors":["Tong Xiao","Hongsheng Li","Wanli Ouyang","Xiaogang Wang"],"abstract":"Learning generic and robust feature representations with data from multiple\ndomains for the same problem is of great value, especially for the problems\nthat have multiple datasets but none of them are large enough to provide\nabundant data variations. In this work, we present a pipeline for learning deep\nfeature representations from multiple domains with Convolutional Neural\nNetworks (CNNs). When training a CNN with data from all the domains, some\nneurons learn representations shared across several domains, while some others\nare effective only for a specific one. Based on this important observation, we\npropose a Domain Guided Dropout algorithm to improve the feature learning\nprocedure. Experiments show the effectiveness of our pipeline and the proposed\nalgorithm. Our methods on the person re-identification problem outperform\nstate-of-the-art methods on multiple datasets by large margins.","url_abs":"http://arxiv.org/abs/1604.07528v1","url_pdf":"http://arxiv.org/pdf/1604.07528v1.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":"learning-deep-feature-representations-with","repo_url":"https://github.com/Cysu/person_reid","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"caffe2","reach":{"status":"ok"}}],"tasks":[{"task_slug":"person-re-identification","task_name":"Person Re-Identification"}],"methods":[{"method_slug":"dropout","method_name":"Dropout"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1604.07528","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}