{"id":"https://openalex.org/W4210916821","doi":"https://doi.org/10.1109/tmm.2022.3148595","title":"Human Parsing With Part-Aware Relation Modeling","display_name":"Human Parsing With Part-Aware Relation Modeling","publication_year":2022,"publication_date":"2022-02-07","ids":{"openalex":"https://openalex.org/W4210916821","doi":"https://doi.org/10.1109/tmm.2022.3148595"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3148595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3148595","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"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"]},{"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"]},{"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"],"is_corresponding":true,"raw_author_name":"Xiaomei Zhang","raw_affiliation_strings":["National Laboratory of Pattern Recognition (NLPR), Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394751","display_name":"Yingying Chen","orcid":"https://orcid.org/0000-0002-5049-8092"},"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/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"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"]},{"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"],"is_corresponding":false,"raw_author_name":"Yingying Chen","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"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/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"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"]},{"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"],"is_corresponding":false,"raw_author_name":"Ming Tang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058420913","display_name":"Jinqiao Wang","orcid":"https://orcid.org/0000-0002-9118-2780"},"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/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"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"]},{"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"],"is_corresponding":false,"raw_author_name":"Jinqiao Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"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"]},{"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"]},{"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"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhu","raw_affiliation_strings":["National Laboratory of Pattern Recognition (NLPR), Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"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/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"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"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"],"is_corresponding":false,"raw_author_name":"Zhen Lei","raw_affiliation_strings":["National Laboratory of Pattern Recognition (NLPR), Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing, China","Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100352991"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.9358,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87066911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"25","issue":null,"first_page":"2601","last_page":"2612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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":0.9957000017166138,"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":0.8834080100059509},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6775156855583191},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5875759124755859},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46356022357940674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4580092132091522},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3501654863357544},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3391892910003662},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24705630540847778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8834080100059509},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6775156855583191},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5875759124755859},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46356022357940674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4580092132091522},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3501654863357544},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3391892910003662},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24705630540847778}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3148595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3148595","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1424013176","display_name":null,"funder_award_id":"61976210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3848044382","display_name":null,"funder_award_id":"61702510","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5582725067","display_name":null,"funder_award_id":"61772527","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5660916271","display_name":null,"funder_award_id":"61806200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G572794571","display_name":null,"funder_award_id":"Y2021131","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G8343971092","display_name":null,"funder_award_id":"61876086","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/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W64332451","https://openalex.org/W1903029394","https://openalex.org/W1903370114","https://openalex.org/W1979260620","https://openalex.org/W1996938738","https://openalex.org/W2101491865","https://openalex.org/W2104408738","https://openalex.org/W2117539524","https://openalex.org/W2121339428","https://openalex.org/W2194775991","https://openalex.org/W2294868795","https://openalex.org/W2309415944","https://openalex.org/W2412782625","https://openalex.org/W2508741746","https://openalex.org/W2554423077","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2598104261","https://openalex.org/W2598915960","https://openalex.org/W2601564443","https://openalex.org/W2742023617","https://openalex.org/W2763794872","https://openalex.org/W2788024025","https://openalex.org/W2798453399","https://openalex.org/W2798734012","https://openalex.org/W2798922769","https://openalex.org/W2883779225","https://openalex.org/W2886799640","https://openalex.org/W2888965908","https://openalex.org/W2889950218","https://openalex.org/W2890319229","https://openalex.org/W2894913190","https://openalex.org/W2899663614","https://openalex.org/W2921781974","https://openalex.org/W2948080074","https://openalex.org/W2962820340","https://openalex.org/W2962891704","https://openalex.org/W2963578952","https://openalex.org/W2963758239","https://openalex.org/W2963815618","https://openalex.org/W2963935758","https://openalex.org/W2963948108","https://openalex.org/W2963978393","https://openalex.org/W2964070329","https://openalex.org/W2964072977","https://openalex.org/W2964309882","https://openalex.org/W2981750895","https://openalex.org/W2985459778","https://openalex.org/W2987322772","https://openalex.org/W2990045899","https://openalex.org/W2991062542","https://openalex.org/W2996977542","https://openalex.org/W3009224666","https://openalex.org/W3023138874","https://openalex.org/W3024232493","https://openalex.org/W3034230284","https://openalex.org/W3034509543","https://openalex.org/W3034760601","https://openalex.org/W3034892601","https://openalex.org/W3108326630","https://openalex.org/W3108657013","https://openalex.org/W3109301572","https://openalex.org/W3121709906","https://openalex.org/W3197396971","https://openalex.org/W3204877997","https://openalex.org/W6618372016","https://openalex.org/W6685350579","https://openalex.org/W6713582119","https://openalex.org/W6716109767","https://openalex.org/W6718171111","https://openalex.org/W6726873649","https://openalex.org/W6729856380","https://openalex.org/W6754899465","https://openalex.org/W6755977528"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W579810227","https://openalex.org/W2388988621","https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2173794830","https://openalex.org/W1502858101"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,58,62,67,99,222],"Part-aware":[4],"Relation":[5],"Modeling":[6],"(PRM)":[7],"is":[8,21,106,132,227,244],"developed":[9,107],"to":[10,23,83,108,134,166,214,247],"handle":[11],"the":[12,39,47,80,91,110,123,136,144,149,160,178,181,186,190,207,216],"task":[13],"of":[14,34,54,79,94,118,151,159,173,180,189,203,218],"human":[15,35,96,119,126,152,204,232],"parsing.":[16],"For":[17],"pixel-level":[18],"recognition,":[19],"it":[20],"essential":[22],"generate":[24,135],"features":[25,82,158,199],"with":[26],"adaptive":[27,197],"context":[28,113,124,141],"for":[29,125,200],"various":[30],"sizes":[31,202],"and":[32,66,88,138,142,169,185,221,241,253],"shapes":[33],"parts.":[36,127],"To":[37],"address":[38],"issue,":[40],"we":[41],"adaptively":[42,121],"capture":[43],"contexts":[44],"based":[45],"on":[46,229],"part-aware":[48],"relation":[49],"mechanism.":[50],"PRM":[51,195,243],"mainly":[52],"consists":[53],"three":[55,230],"modules,":[56],"including":[57],"part":[59,72,97,191],"class":[60,73,162,192],"module,":[61,65,193],"part-relation":[63,68,103,129,183],"aggregation":[64,104],"dispersion":[69,130],"module.":[70],"The":[71,102,128],"module":[74,105,131],"selectively":[75],"enhances":[76],"spatial":[77],"details":[78],"high-level":[81,92],"obtain":[84],"enhanced":[85],"original":[86],"features,":[87],"then":[89],"extracts":[90],"representations":[93],"every":[95],"from":[98,171],"categorical":[100],"perspective.":[101],"extract":[109],"representative":[111],"global":[112],"by":[114,147],"exploring":[115],"associated":[116],"semantics":[117],"parts,":[120,205],"augmenting":[122],"designed":[133],"discriminative":[137],"effective":[139],"local":[140],"neglect":[143],"distracting":[145],"one":[146],"making":[148],"affinity":[150],"parts":[153],"disperse.":[154],"It":[155],"ensures":[156],"that":[157],"same":[161],"will":[163],"be":[164],"close":[165],"each":[167],"other":[168,248],"away":[170],"those":[172],"different":[174],"classes.":[175],"By":[176],"fusing":[177],"outputs":[179,188],"two":[182],"modules":[184],"first":[187],"our":[194,219],"produces":[196],"contextual":[198],"diverse":[201],"boosting":[206],"parsing":[208,233],"accuracy.":[209],"Extensive":[210],"experiments":[211],"are":[212],"conducted":[213],"validate":[215],"effectiveness":[217],"network,":[220],"new":[223],"state-of-the-art":[224],"segmentation":[225],"performance":[226],"achieved":[228],"challenging":[231],"datasets,":[234],"<italic":[235],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[236],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e</i>":[237],".,":[238],"PASCAL-Person-Part,":[239],"LIP,":[240],"CIHP.":[242],"also":[245],"extended":[246],"tasks":[249],"like":[250],"animal":[251],"parsing,":[252],"exhibits":[254],"its":[255],"generality.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
