{"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/3db-a-framework-for-debugging-computer-vision","title":"3DB: A Framework for Debugging Computer Vision Models","arxiv_id":"2106.03805","date":"2021-06-07","proceeding":null,"authors":["Guillaume Leclerc","Hadi Salman","Andrew Ilyas","Sai Vemprala","Logan Engstrom","Vibhav Vineet","Kai Xiao","Pengchuan Zhang","Shibani Santurkar","Greg Yang","Ashish Kapoor","Aleksander Madry"],"abstract":"We introduce 3DB: an extendable, unified framework for testing and debugging vision models using photorealistic simulation. 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