{"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/detecting-people-in-artwork-with-cnns","title":"Detecting People in Artwork with CNNs","arxiv_id":"1610.08871","date":"2016-10-27","proceeding":null,"authors":["Nicholas Westlake","Hongping Cai","Peter Hall"],"abstract":"CNNs have massively improved performance in object detection in photographs.\nHowever research into object detection in artwork remains limited. We show\nstate-of-the-art performance on a challenging dataset, People-Art, which\ncontains people from photos, cartoons and 41 different artwork movements. We\nachieve this high performance by fine-tuning a CNN for this task, thus also\ndemonstrating that training CNNs on photos results in overfitting for photos:\nonly the first three or four layers transfer from photos to artwork. Although\nthe CNN's performance is the highest yet, it remains less than 60\\% AP,\nsuggesting further work is needed for the cross-depiction problem. The final\npublication is available at Springer via\nhttp://dx.doi.org/10.1007/978-3-319-46604-0_57","url_abs":"http://arxiv.org/abs/1610.08871v1","url_pdf":"http://arxiv.org/pdf/1610.08871v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"detecting-people-in-artwork-with-cnns","repo_url":"https://github.com/BathVisArtData/PeopleArt","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"object","task_name":"Object"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":null,"task_name":"Object Detection in Artwork"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[{"slug":"peopleart","name":"PeopleArt","full_name":"PeopleArt"}],"methods_introduced":[],"results":[{"leaderboard":"/sota/object-detection-on-peopleart","task":"Object Detection","dataset":"PeopleArt","model":"Fast R-CNN","rank_in_archive_order":6,"of":6,"metrics":{"mAP@0.5":"59.0"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1610.08871","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}