{"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/workshop-on-autonomous-driving-at-cvpr-2021","title":"Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge","arxiv_id":"2108.04230","date":"2021-07-27","proceeding":null,"authors":["Songyang Zhang","Lin Song","Songtao Liu","Zheng Ge","Zeming Li","Xuming He","Jian Sun"],"abstract":"In this report, we introduce our real-time 2D object detection system for the realistic autonomous driving scenario. Our detector is built on a newly designed YOLO model, called YOLOX. 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