{"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/3d-human-pose-estimation-with-siamese","title":"3D Human Pose Estimation with Siamese Equivariant Embedding","arxiv_id":"1809.07217","date":"2018-09-19","proceeding":null,"authors":["Márton Véges","Viktor Varga","András Lőrincz"],"abstract":"In monocular 3D human pose estimation a common setup is to first detect 2D\npositions and then lift the detection into 3D coordinates. Many algorithms\nsuffer from overfitting to camera positions in the training set. We propose a\nsiamese architecture that learns a rotation equivariant hidden representation\nto reduce the need for data augmentation. Our method is evaluated on multiple\ndatabases with different base networks and shows a consistent improvement of\nerror metrics. It achieves state-of-the-art cross-camera error rate among\nalgorithms that use estimated 2D joint coordinates only.","url_abs":"http://arxiv.org/abs/1809.07217v2","url_pdf":"http://arxiv.org/pdf/1809.07217v2.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":"3d-human-pose-estimation-with-siamese","repo_url":"https://github.com/vegesm/siamese-pose-estimation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"3d-human-pose-estimation","task_name":"3D Human Pose Estimation"},{"task_slug":"data-augmentation","task_name":"Data Augmentation"},{"task_slug":"monocular-3d-human-pose-estimation","task_name":"Monocular 3D Human Pose Estimation"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}