{"id":"https://openalex.org/W4413079717","doi":"https://doi.org/10.1145/3748717","title":"Deep Learning for Human Parsing: A Survey","display_name":"Deep Learning for Human Parsing: A Survey","publication_year":2025,"publication_date":"2025-07-17","ids":{"openalex":"https://openalex.org/W4413079717","doi":"https://doi.org/10.1145/3748717"},"language":"en","primary_location":{"id":"doi:10.1145/3748717","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748717","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3748717","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100352991","display_name":"Xiaomei Zhang","orcid":"https://orcid.org/0000-0002-0221-6978"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaomei Zhang","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA)","Chinese Academy of Sciences Institute of Automation"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100632822","display_name":"Xiangyu Zhu","orcid":"https://orcid.org/0000-0002-4636-9677"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhu","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA)","Chinese Academy of Sciences Institute of Automation"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110938150","display_name":"Ming Tang","orcid":"https://orcid.org/0000-0003-4976-3095"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Tang","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA)","NLPR, CAS Institute of Automation"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"NLPR, CAS Institute of Automation","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109299788","display_name":"Zhen Lei","orcid":"https://orcid.org/0000-0002-0791-189X"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN","IN","MO"],"is_corresponding":false,"raw_author_name":"Zhen Lei","raw_affiliation_strings":["Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences","School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS)","School of Computer Science and Engineering, the Faculty of Innovation Engineering, Macau University of Science and Technology","State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA)","Chinese Academy of Sciences Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210121405"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS)","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Computer Science and Engineering, the Faculty of Innovation Engineering, Macau University of Science and Technology","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100352991"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17945176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"58","issue":"1","first_page":"1","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8855636715888977},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7396683692932129},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6807671189308167},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6607739329338074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6530923247337341},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5533013939857483},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5032734274864197},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49797534942626953},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49185800552368164},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4398086667060852},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3327754735946655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8855636715888977},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7396683692932129},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6807671189308167},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6607739329338074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6530923247337341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5533013939857483},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5032734274864197},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49797534942626953},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49185800552368164},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4398086667060852},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3327754735946655},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748717","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748717","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3748717","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748717","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.41999998688697815,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G7192327807","display_name":null,"funder_award_id":"Z231100005923033","funder_id":"https://openalex.org/F4320335843","funder_display_name":"Beijing Science and Technology Planning Project"},{"id":"https://openalex.org/G7418291719","display_name":null,"funder_award_id":"62206280, U23B2054 and 62276254, 62376265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335843","display_name":"Beijing Science and Technology Planning Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W1540144755","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1962739028","https://openalex.org/W1966763943","https://openalex.org/W1973255633","https://openalex.org/W1974700302","https://openalex.org/W1994529670","https://openalex.org/W1994769389","https://openalex.org/W2010785631","https://openalex.org/W2013640163","https://openalex.org/W2047809566","https://openalex.org/W2054990548","https://openalex.org/W2057204268","https://openalex.org/W2074621908","https://openalex.org/W2097117768","https://openalex.org/W2128271252","https://openalex.org/W2131263044","https://openalex.org/W2131938593","https://openalex.org/W2145023731","https://openalex.org/W2204578866","https://openalex.org/W2294868795","https://openalex.org/W2313077179","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2598915960","https://openalex.org/W2618530766","https://openalex.org/W2737106217","https://openalex.org/W2746791238","https://openalex.org/W2788024025","https://openalex.org/W2793768642","https://openalex.org/W2798453399","https://openalex.org/W2798775284","https://openalex.org/W2887240357","https://openalex.org/W2887358179","https://openalex.org/W2895818027","https://openalex.org/W2901114541","https://openalex.org/W2913550731","https://openalex.org/W2914695977","https://openalex.org/W2916798096","https://openalex.org/W2921745007","https://openalex.org/W2945556069","https://openalex.org/W2963225012","https://openalex.org/W2963515833","https://openalex.org/W2963805953","https://openalex.org/W2963876278","https://openalex.org/W2963881378","https://openalex.org/W2963978393","https://openalex.org/W2964252655","https://openalex.org/W2979283733","https://openalex.org/W2979879857","https://openalex.org/W2996102538","https://openalex.org/W2998621957","https://openalex.org/W3005794849","https://openalex.org/W3013135579","https://openalex.org/W3024232493","https://openalex.org/W3034230284","https://openalex.org/W3093028821","https://openalex.org/W3106758349","https://openalex.org/W3111653112","https://openalex.org/W3121709906","https://openalex.org/W3128690020","https://openalex.org/W3132455321","https://openalex.org/W3144514711","https://openalex.org/W3157441214","https://openalex.org/W3166171970","https://openalex.org/W3168292752","https://openalex.org/W3170841864","https://openalex.org/W3173284731","https://openalex.org/W3198020043","https://openalex.org/W3204877997","https://openalex.org/W4210916821","https://openalex.org/W4214530306","https://openalex.org/W4214540501","https://openalex.org/W4236965008","https://openalex.org/W4253677509","https://openalex.org/W4282969650","https://openalex.org/W4292964465","https://openalex.org/W4301409532","https://openalex.org/W4312363252","https://openalex.org/W4312379245","https://openalex.org/W4320015877","https://openalex.org/W4385525171","https://openalex.org/W4392615480","https://openalex.org/W4402951553","https://openalex.org/W4408564948"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Human":[0],"parsing":[1,31],"has":[2],"recently":[3],"attracted":[4],"increasing":[5],"attention":[6],"due":[7],"to":[8,98,114,127,142],"its":[9],"wide":[10],"applications":[11,180],"in":[12,49],"many":[13],"areas,":[14],"such":[15],"as":[16],"surveillance":[17],"analysis,":[18,104],"human-robot":[19],"interaction,":[20],"and":[21,83,123,130,133,151,156,181],"person":[22],"search.":[23],"Many":[24],"methods":[25,120,171],"now":[26],"focus":[27],"on":[28,34,172],"developing":[29],"human":[30,65,90,102],"algorithms":[32],"based":[33],"deep":[35],"learning.":[36],"To":[37],"stimulate":[38],"future":[39,186],"research,":[40],"we":[41,163,176],"present":[42,164],"the":[43,78,84,144,149,157,169],"comprehensive":[44],"review":[45],"of":[46,61,80,88,111,153,168],"recent":[47],"advances":[48],"this":[50],"field.":[51],"This":[52,67],"survey":[53],"analyzes":[54],"state-of-the-art":[55],"methods,":[56],"covering":[57],"a":[58,89],"broad":[59],"spectrum":[60],"pioneering":[62],"works":[63],"for":[64,185],"parsing.":[66],"work":[68],"introduces":[69],"five":[70],"insightful":[71],"categories:":[72],"(1)":[73],"structure-driven":[74],"architectures":[75],"that":[76],"exploit":[77],"relationship":[79],"different":[81,160],"parts":[82],"inherent":[85],"hierarchical":[86],"structure":[87],"body,":[91],"(2)":[92],"graph-based":[93],"networks":[94,107],"model":[95],"part-relation":[96],"reasoning":[97],"achieve":[99],"an":[100],"effective":[101],"body":[103],"(3)":[105],"context-aware":[106],"utilize":[108],"multiple":[109],"types":[110],"contextual":[112],"information":[113,137],"classify":[115],"pixels":[116],"accurately,":[117],"(4)":[118],"LSTM-based":[119],"combine":[121],"short-distance":[122],"long-distance":[124],"spatial":[125],"dependencies":[126],"leverage":[128],"local":[129],"global":[131],"contexts,":[132],"(5)":[134],"combined":[135],"auxiliary":[136],"approaches":[138],"use":[139],"related":[140],"tasks":[141],"improve":[143],"performance.":[145],"We":[146],"also":[147],"discuss":[148],"advantages":[150],"disadvantages":[152],"each":[154],"category":[155],"relationships":[158],"between":[159],"methods.":[161],"Additionally,":[162],"quantitative":[165],"performance":[166],"comparisons":[167],"reviewed":[170],"benchmark":[173],"datasets.":[174],"Finally,":[175],"introduce":[177],"some":[178],"common":[179],"suggest":[182],"new":[183],"directions":[184],"study.":[187]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
