{"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/simple-baselines-for-human-pose-estimation","title":"Simple Baselines for Human Pose Estimation and Tracking","arxiv_id":"1804.06208","date":"2018-04-17","proceeding":"ECCV 2018 9","authors":["Bin Xiao","Haiping Wu","Yichen Wei"],"abstract":"There has been significant progress on pose estimation and increasing\ninterests on pose tracking in recent years. At the same time, the overall\nalgorithm and system complexity increases as well, making the algorithm\nanalysis and comparison more difficult. This work provides simple and effective\nbaseline methods. They are helpful for inspiring and evaluating new ideas for\nthe field. State-of-the-art results are achieved on challenging benchmarks. The\ncode will be available at https://github.com/leoxiaobin/pose.pytorch.","url_abs":"http://arxiv.org/abs/1804.06208v2","url_pdf":"http://arxiv.org/pdf/1804.06208v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 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