{"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/inclusivefacenet-improving-face-attribute","title":"InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity","arxiv_id":"1712.00193","date":"2017-12-01","proceeding":null,"authors":["Hee Jung Ryu","Hartwig Adam","Margaret Mitchell"],"abstract":"We demonstrate an approach to face attribute detection that retains or\nimproves attribute detection accuracy across gender and race subgroups by\nlearning demographic information prior to learning the attribute detection\ntask. The system, which we call InclusiveFaceNet, detects face attributes by\ntransferring race and gender representations learned from a held-out dataset of\npublic race and gender identities. Leveraging learned demographic\nrepresentations while withholding demographic inference from the downstream\nface attribute detection task preserves potential users' demographic privacy\nwhile resulting in some of the best reported numbers to date on attribute\ndetection in the Faces of the World and CelebA datasets.","url_abs":"http://arxiv.org/abs/1712.00193v3","url_pdf":"http://arxiv.org/pdf/1712.00193v3.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":"inclusivefacenet-improving-face-attribute","repo_url":"https://github.com/ikasu93/Data-Science-Bias-Guideline","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"attribute","task_name":"Attribute"},{"task_slug":"diversity","task_name":"Diversity"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1712.00193","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}