{"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/the-cross-depiction-problem-computer-vision","title":"The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs","arxiv_id":"1505.00110","date":"2015-05-01","proceeding":null,"authors":["Hongping Cai","Qi Wu","Tadeo Corradi","Peter Hall"],"abstract":"The cross-depiction problem is that of recognising visual objects regardless\nof whether they are photographed, painted, drawn, etc. It is a potentially\nsignificant yet under-researched problem. Emulating the remarkable human\nability to recognise objects in an astonishingly wide variety of depictive\nforms is likely to advance both the foundations and the applications of\nComputer Vision.\n  In this paper we benchmark classification, domain adaptation, and deep\nlearning methods; demonstrating that none perform consistently well in the\ncross-depiction problem. Given the current interest in deep learning, the fact\nsuch methods exhibit the same behaviour as all but one other method: they show\na significant fall in performance over inhomogeneous databases compared to\ntheir peak performance, which is always over data comprising photographs only.\nRather, we find the methods that have strong models of spatial relations\nbetween parts tend to be more robust and therefore conclude that such\ninformation is important in modelling object classes regardless of appearance\ndetails.","url_abs":"http://arxiv.org/abs/1505.00110v1","url_pdf":"http://arxiv.org/pdf/1505.00110v1.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":"the-cross-depiction-problem-computer-vision","repo_url":"https://github.com/BathVisArtData/PeopleArt","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"domain-adaptation","task_name":"Domain Adaptation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1505.00110","atlas_url":"https://app.syntology.ai/?focus=1505.00110","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}