{"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/pointrcnn-3d-object-proposal-generation-and","title":"PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud","arxiv_id":"1812.04244","date":"2018-12-11","proceeding":"CVPR 2019 6","authors":["Shaoshuai Shi","Xiaogang Wang","Hongsheng Li"],"abstract":"In this paper, we propose PointRCNN for 3D object detection from raw point cloud. The whole framework is composed of two stages: stage-1 for the bottom-up 3D proposal generation and stage-2 for refining proposals in the canonical coordinates to obtain the final detection results. 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