{"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/unsupervised-image-matching-and-object","title":"Unsupervised Image Matching and Object Discovery as Optimization","arxiv_id":"1904.03148","date":"2019-04-05","proceeding":"CVPR 2019 6","authors":["Huy V. Vo","Francis Bach","Minsu Cho","Kai Han","Yann Lecun","Patrick Perez","Jean Ponce"],"abstract":"Learning with complete or partial supervision is powerful but relies on\never-growing human annotation efforts. As a way to mitigate this serious\nproblem, as well as to serve specific applications, unsupervised learning has\nemerged as an important field of research. In computer vision, unsupervised\nlearning comes in various guises. We focus here on the unsupervised discovery\nand matching of object categories among images in a collection, following the\nwork of Cho et al. 2015. We show that the original approach can be reformulated\nand solved as a proper optimization problem. Experiments on several benchmarks\nestablish the merit of our approach.","url_abs":"http://arxiv.org/abs/1904.03148v1","url_pdf":"http://arxiv.org/pdf/1904.03148v1.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":"unsupervised-image-matching-and-object","repo_url":"https://github.com/huyvvo/OSD","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"GPL-3.0"}}],"tasks":[{"task_slug":"object","task_name":"Object"},{"task_slug":"object-discovery","task_name":"Object Discovery"},{"task_slug":"single-object-colocalization","task_name":"Single-object colocalization"},{"task_slug":"single-object-discovery","task_name":"Single-object discovery"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/single-object-discovery-on-object-discovery","task":"Single-object discovery","dataset":"Object Discovery","model":"OSD","rank_in_archive_order":2,"of":2,"metrics":{"CorLoc":"83"},"uses_additional_data":false},{"leaderboard":"/sota/single-object-discovery-on-voc-6x2","task":"Single-object discovery","dataset":"VOC_6x2","model":"OSD","rank_in_archive_order":2,"of":2,"metrics":{"CorLoc":"60.2"},"uses_additional_data":false},{"leaderboard":"/sota/single-object-discovery-on-voc-all","task":"Single-object discovery","dataset":"VOC_all","model":"OSD","rank_in_archive_order":3,"of":3,"metrics":{"CorLoc":"39.8"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.03148","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}