{"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/pose-induction-for-novel-object-categories","title":"Pose Induction for Novel Object Categories","arxiv_id":"1505.00066","date":"2015-05-01","proceeding":"ICCV 2015 12","authors":["Shubham Tulsiani","João Carreira","Jitendra Malik"],"abstract":"We address the task of predicting pose for objects of unannotated object\ncategories from a small seed set of annotated object classes. We present a\ngeneralized classifier that can reliably induce pose given a single instance of\na novel category. In case of availability of a large collection of novel\ninstances, our approach then jointly reasons over all instances to improve the\ninitial estimates. We empirically validate the various components of our\nalgorithm and quantitatively show that our method produces reliable pose\nestimates. We also show qualitative results on a diverse set of classes and\nfurther demonstrate the applicability of our system for learning shape models\nof novel object classes.","url_abs":"http://arxiv.org/abs/1505.00066v2","url_pdf":"http://arxiv.org/pdf/1505.00066v2.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":"pose-induction-for-novel-object-categories","repo_url":"https://github.com/shubhtuls/poseInduction","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"object","task_name":"Object"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1505.00066","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}