{"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/proposal-flow","title":"Proposal Flow","arxiv_id":"1511.05065","date":"2015-11-16","proceeding":"CVPR 2016 6","authors":["Bumsub Ham","Minsu Cho","Cordelia Schmid","Jean Ponce"],"abstract":"Finding image correspondences remains a challenging problem in the presence\nof intra-class variations and large changes in scene layout.~Semantic flow\nmethods are designed to handle images depicting different instances of the same\nobject or scene category. We introduce a novel approach to semantic flow,\ndubbed proposal flow, that establishes reliable correspondences using object\nproposals. Unlike prevailing semantic flow approaches that operate on pixels or\nregularly sampled local regions, proposal flow benefits from the\ncharacteristics of modern object proposals, that exhibit high repeatability at\nmultiple scales, and can take advantage of both local and geometric consistency\nconstraints among proposals. We also show that proposal flow can effectively be\ntransformed into a conventional dense flow field. We introduce a new dataset\nthat can be used to evaluate both general semantic flow techniques and\nregion-based approaches such as proposal flow. We use this benchmark to compare\ndifferent matching algorithms, object proposals, and region features within\nproposal flow, to the state of the art in semantic flow. This comparison, along\nwith experiments on standard datasets, demonstrates that proposal flow\nsignificantly outperforms existing semantic flow methods in various settings.","url_abs":"http://arxiv.org/abs/1511.05065v3","url_pdf":"http://arxiv.org/pdf/1511.05065v3.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":[],"tasks":[{"task_slug":"object","task_name":"Object"}],"methods":[],"datasets_introduced":[{"slug":"proposal-flow-datasets","name":"Proposal Flow Datasets","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1511.05065","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}