{"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/multiple-human-parsing-in-the-wild","title":"Multiple-Human Parsing in the Wild","arxiv_id":"1705.07206","date":"2017-05-19","proceeding":null,"authors":["Jianshu Li","Jian Zhao","Yunchao Wei","Congyan Lang","Yidong Li","Terence Sim","Shuicheng Yan","Jiashi Feng"],"abstract":"Human parsing is attracting increasing research attention. In this work, we\naim to push the frontier of human parsing by introducing the problem of\nmulti-human parsing in the wild. Existing works on human parsing mainly tackle\nsingle-person scenarios, which deviates from real-world applications where\nmultiple persons are present simultaneously with interaction and occlusion. To\naddress the multi-human parsing problem, we introduce a new multi-human parsing\n(MHP) dataset and a novel multi-human parsing model named MH-Parser. The MHP\ndataset contains multiple persons captured in real-world scenes with\npixel-level fine-grained semantic annotations in an instance-aware setting. The\nMH-Parser generates global parsing maps and person instance masks\nsimultaneously in a bottom-up fashion with the help of a new Graph-GAN model.\nWe envision that the MHP dataset will serve as a valuable data resource to\ndevelop new multi-human parsing models, and the MH-Parser offers a strong\nbaseline to drive future research for multi-human parsing in the wild.","url_abs":"http://arxiv.org/abs/1705.07206v2","url_pdf":"http://arxiv.org/pdf/1705.07206v2.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":"multiple-human-parsing-in-the-wild","repo_url":"https://github.com/ZhaoJ9014/Multi-Human-Parsing","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"multiple-human-parsing-in-the-wild","repo_url":"https://github.com/ZhaoJ9014/Multi-Human-Parsing_MHP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"human-parsing","task_name":"Human Parsing"},{"task_slug":"multi-human-parsing","task_name":"Multi-Human Parsing"}],"methods":[],"datasets_introduced":[{"slug":"mhp","name":"MHP","full_name":"Multiple-Human Parsing"}],"methods_introduced":[],"results":[{"leaderboard":"/sota/multi-human-parsing-on-mhp-v10","task":"Multi-Human Parsing","dataset":"MHP v1.0","model":"MH-Parser","rank_in_archive_order":3,"of":4,"metrics":{"AP 0.5":"50.10%"},"uses_additional_data":false},{"leaderboard":"/sota/multi-human-parsing-on-mhp-v20","task":"Multi-Human Parsing","dataset":"MHP v2.0","model":"MH-Parser","rank_in_archive_order":4,"of":5,"metrics":{"AP 0.5":"17.99%"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1705.07206","atlas_url":"https://app.syntology.ai/?focus=1705.07206","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}