{"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/visual-prompting-modifying-pixel-space-to","title":"Exploring Visual Prompts for Adapting Large-Scale Models","arxiv_id":"2203.17274","date":"2022-03-31","proceeding":null,"authors":["Hyojin Bahng","Ali Jahanian","Swami Sankaranarayanan","Phillip Isola"],"abstract":"We investigate the efficacy of visual prompting to adapt large-scale models in vision. Following the recent approach from prompt tuning and adversarial reprogramming, we learn a single image perturbation such that a frozen model prompted with this perturbation performs a new task. 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