{"id":"https://openalex.org/W2835003784","doi":"https://doi.org/10.1109/tcyb.2018.2850745","title":"Clothing Landmark Detection Using Deep Networks With Prior of Key Point Associations","display_name":"Clothing Landmark Detection Using Deep Networks With Prior of Key Point Associations","publication_year":2018,"publication_date":"2018-07-12","ids":{"openalex":"https://openalex.org/W2835003784","doi":"https://doi.org/10.1109/tcyb.2018.2850745","mag":"2835003784","pmid":"https://pubmed.ncbi.nlm.nih.gov/30004899"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2018.2850745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2850745","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5108051852","display_name":"Changqin Huang","orcid":"https://orcid.org/0000-0003-1371-2608"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chang-Qin Huang","raw_affiliation_strings":["School of Information Technology in Education, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1371-2608","affiliations":[{"raw_affiliation_string":"School of Information Technology in Education, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041659406","display_name":"Jikai Chen","orcid":"https://orcid.org/0000-0002-2029-1103"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Kai Chen","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087294951","display_name":"Yan Pan","orcid":"https://orcid.org/0000-0002-0466-3763"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Pan","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0466-3763","affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076868018","display_name":"Hanjiang Lai","orcid":"https://orcid.org/0000-0001-8057-6744"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han-Jiang Lai","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017205177","display_name":"Jian Yin","orcid":"https://orcid.org/0000-0002-1214-5384"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yin","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061417406","display_name":"Qionghao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong-Hao Huang","raw_affiliation_strings":["School of Information Technology in Education, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5041-6093","affiliations":[{"raw_affiliation_string":"School of Information Technology in Education, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108051852"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":2.1246,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90944805,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"49","issue":"10","first_page":"3744","last_page":"3754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9987999796867371,"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/T11448","display_name":"Face recognition and analysis","score":0.9987999796867371,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9929999709129333,"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/landmark","display_name":"Landmark","score":0.9151352643966675},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5721847414970398},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.5619067549705505},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5275654196739197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5052357316017151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4637008607387543},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3323097825050354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33045560121536255},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.32799530029296875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3238811492919922},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.25709766149520874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17719978094100952},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.13814502954483032},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07426771521568298}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9151352643966675},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5721847414970398},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.5619067549705505},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5275654196739197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5052357316017151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4637008607387543},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3323097825050354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33045560121536255},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.32799530029296875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3238811492919922},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25709766149520874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17719978094100952},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.13814502954483032},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07426771521568298}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2018.2850745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2850745","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:30004899","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30004899","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1628964050","display_name":null,"funder_award_id":"61602530","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1941139581","display_name":null,"funder_award_id":"U1611264","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4700838258","display_name":null,"funder_award_id":"61772567","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5938949632","display_name":null,"funder_award_id":"201704030079","funder_id":"https://openalex.org/F4320326685","funder_display_name":"Guangzhou Science, Technology and Innovation Commission"},{"id":"https://openalex.org/G6221921357","display_name":null,"funder_award_id":"61370021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6839310337","display_name":null,"funder_award_id":"61370229","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/F4320326685","display_name":"Guangzhou Science, Technology and Innovation Commission","ror":"https://ror.org/05t4nb462"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W123584468","https://openalex.org/W146395692","https://openalex.org/W181871703","https://openalex.org/W204268067","https://openalex.org/W204612701","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1921293667","https://openalex.org/W1939575207","https://openalex.org/W1946323491","https://openalex.org/W1949942966","https://openalex.org/W2010181071","https://openalex.org/W2051926867","https://openalex.org/W2097117768","https://openalex.org/W2134007045","https://openalex.org/W2135367695","https://openalex.org/W2145287260","https://openalex.org/W2151103935","https://openalex.org/W2155171143","https://openalex.org/W2155893237","https://openalex.org/W2157732827","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2170881581","https://openalex.org/W2171671655","https://openalex.org/W2194775991","https://openalex.org/W2221507685","https://openalex.org/W2293824885","https://openalex.org/W2296447001","https://openalex.org/W2313077179","https://openalex.org/W2326180695","https://openalex.org/W2471768434","https://openalex.org/W2497173630","https://openalex.org/W2511502099","https://openalex.org/W2535561795","https://openalex.org/W2546611663","https://openalex.org/W2559085405","https://openalex.org/W2769561364","https://openalex.org/W2770895039","https://openalex.org/W2963037989","https://openalex.org/W3125882365","https://openalex.org/W6605026522","https://openalex.org/W6637373629","https://openalex.org/W6640298173","https://openalex.org/W6653248861","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6697060382","https://openalex.org/W6746152039"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2026924879","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W2620829895","https://openalex.org/W2356918560","https://openalex.org/W2909951709"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"a":[3,32,49,77],"problem":[4],"of":[5,38,64,113,134],"landmark":[6,23,45,88,106,166],"point":[7,40],"detection":[8,167],"in":[9,115,153],"clothes,":[10],"which":[11,28,108],"is":[12,29,69,150],"important":[13],"and":[14,59,76,96,120,123],"valuable":[15],"for":[16,22,164],"clothing":[17,57,85,94,165],"industry.":[18],"A":[19,61,141],"novel":[20],"method":[21],"localization":[24],"has":[25,52],"been":[26,53],"proposed,":[27],"based":[30],"on":[31],"deep":[33,50,73,162],"end-to-end":[34],"architecture":[35,163],"using":[36,72,103],"prior":[37],"key":[39],"associations.":[41],"With":[42],"the":[43,65,104,118,121,158,169],"estimated":[44],"points":[46],"as":[47],"input,":[48],"network":[51],"proposed":[54,66,159],"to":[55,131],"predict":[56],"categories":[58,95],"attributes.":[60],"systematic":[62],"design":[63],"detecting":[67],"system":[68,160],"implemented":[70],"by":[71,102],"learning":[74,126],"techniques":[75],"large-scale":[78],"clothes":[79,116],"dataset":[80],"containing":[81],"145":[82],"000":[83],"upper-body":[84],"images":[86],"with":[87,111,129,161],"annotations.":[89],"Experimental":[90],"results":[91],"indicate":[92],"that":[93,157],"attributes":[97],"can":[98],"be":[99],"well":[100],"classified":[101],"detected":[105],"points,":[107],"are":[109],"associated":[110],"regions":[112],"interest":[114],"(e.g.,":[117],"sleeves":[119],"collars)":[122],"share":[124],"robust":[125],"representation":[127],"property":[128],"respect":[130],"large":[132],"variances":[133],"human":[135],"poses,":[136],"nonfrontal":[137],"views,":[138],"or":[139],"occlusion.":[140],"comprehensive":[142],"performance":[143],"evaluation":[144],"over":[145],"two":[146],"newly":[147],"released":[148],"datasets":[149],"carried":[151],"out":[152],"this":[154],"paper,":[155],"showing":[156],"outperforms":[168],"state-of-the-art":[170],"techniques.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
