{"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/semi-supervised-self-taught-deep-learning-for","title":"Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation","arxiv_id":"1903.04778","date":"2019-03-12","proceeding":null,"authors":["Ziyuan Zhao","Xiaoman Zhang","Cen Chen","Wei Li","Songyou Peng","Jie Wang","Xulei Yang","Le Zhang","Zeng Zeng"],"abstract":"Segmentation stands at the forefront of many high-level vision tasks. In this\nstudy, we focus on segmenting finger bones within a newly introduced\nsemi-supervised self-taught deep learning framework which consists of a student\nnetwork and a stand-alone teacher module. The whole system is boosted in a\nlife-long learning manner wherein each step the teacher module provides a\nrefinement for the student network to learn with newly unlabeled data.\nExperimental results demonstrate the superiority of the proposed method over\nconventional supervised deep learning methods.","url_abs":"http://arxiv.org/abs/1903.04778v1","url_pdf":"http://arxiv.org/pdf/1903.04778v1.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":"semi-supervised-self-taught-deep-learning-for","repo_url":"https://github.com/jacobzhaoziyuan/DSAL","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}