{"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/unsupervised-domain-adaptation-for-3d","title":"Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency","arxiv_id":"1712.05765","date":"2017-12-15","proceeding":"ECCV 2018 9","authors":["Xingyi Zhou","Arjun Karpur","Chuang Gan","Linjie Luo","Qi-Xing Huang"],"abstract":"In this paper, we introduce a novel unsupervised domain adaptation technique\nfor the task of 3D keypoint prediction from a single depth scan or image. Our\nkey idea is to utilize the fact that predictions from different views of the\nsame or similar objects should be consistent with each other. Such view\nconsistency can provide effective regularization for keypoint prediction on\nunlabeled instances. In addition, we introduce a geometric alignment term to\nregularize predictions in the target domain. The resulting loss function can be\neffectively optimized via alternating minimization. We demonstrate the\neffectiveness of our approach on real datasets and present experimental results\nshowing that our approach is superior to state-of-the-art general-purpose\ndomain adaptation techniques.","url_abs":"http://arxiv.org/abs/1712.05765v2","url_pdf":"http://arxiv.org/pdf/1712.05765v2.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":"unsupervised-domain-adaptation-for-3d","repo_url":"https://github.com/xingyizhou/3DKeypoints-DA","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"domain-adaptation","task_name":"Domain Adaptation"},{"task_slug":"keypoint-estimation","task_name":"Keypoint Estimation"},{"task_slug":"unsupervised-domain-adaptation","task_name":"Unsupervised Domain Adaptation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1712.05765","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}