{"id":"https://openalex.org/W3002443796","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8966051","title":"A Brief Review of Recent Progress in Fashion Landmark Detection","display_name":"A Brief Review of Recent Progress in Fashion Landmark Detection","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3002443796","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8966051","mag":"3002443796"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8966051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8966051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"review","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/A5103086350","display_name":"Yungang Zhang","orcid":"https://orcid.org/0000-0002-8279-3109"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yungang Zhang","raw_affiliation_strings":["School of Information Science, Yunnan Normal University,Kunming,Yunnan Province,China,650500","School of Information Science, Yunnan Normal University, Kunming, Yunnan Province, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Yunnan Normal University,Kunming,Yunnan Province,China,650500","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"School of Information Science, Yunnan Normal University, Kunming, Yunnan Province, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459792","display_name":"Cai Zhang","orcid":"https://orcid.org/0000-0003-2913-7302"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Zhang","raw_affiliation_strings":["School of Information Science, Yunnan Normal University,Kunming,Yunnan Province,China,650500","School of Information Science, Yunnan Normal University, Kunming, Yunnan Province, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Yunnan Normal University,Kunming,Yunnan Province,China,650500","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"School of Information Science, Yunnan Normal University, Kunming, Yunnan Province, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026196907","display_name":"Fei Du","orcid":"https://orcid.org/0000-0002-9989-8230"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Du","raw_affiliation_strings":["School of Information Science, Yunnan Normal University,Kunming,Yunnan Province,China,650500","School of Information Science, Yunnan Normal University, Kunming, Yunnan Province, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Yunnan Normal University,Kunming,Yunnan Province,China,650500","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"School of Information Science, Yunnan Normal University, Kunming, Yunnan Province, China","institution_ids":["https://openalex.org/I120825670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103086350"],"corresponding_institution_ids":["https://openalex.org/I120825670"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47355643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"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/T11448","display_name":"Face recognition and analysis","score":0.9983999729156494,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.9934987425804138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7978991866111755},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6637704968452454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6066830158233643},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45019838213920593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34957221150398254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3328154683113098},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3217945992946625},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10876971483230591},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10235920548439026},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07189148664474487}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9934987425804138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7978991866111755},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6637704968452454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6066830158233643},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45019838213920593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34957221150398254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3328154683113098},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3217945992946625},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10876971483230591},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10235920548439026},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07189148664474487},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei48845.2019.8966051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8966051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W146395692","https://openalex.org/W181871703","https://openalex.org/W1686810756","https://openalex.org/W1946323491","https://openalex.org/W1949942966","https://openalex.org/W2051926867","https://openalex.org/W2074621908","https://openalex.org/W2108890589","https://openalex.org/W2135367695","https://openalex.org/W2155171143","https://openalex.org/W2157732827","https://openalex.org/W2170881581","https://openalex.org/W2200092826","https://openalex.org/W2294868795","https://openalex.org/W2471768434","https://openalex.org/W2511502099","https://openalex.org/W2549401308","https://openalex.org/W2598915960","https://openalex.org/W2743772526","https://openalex.org/W2750384547","https://openalex.org/W2798734012","https://openalex.org/W2808747415","https://openalex.org/W2835003784","https://openalex.org/W2899005323","https://openalex.org/W2911579932","https://openalex.org/W2954388973","https://openalex.org/W2963091558","https://openalex.org/W2963495494","https://openalex.org/W2964304707","https://openalex.org/W2965638258","https://openalex.org/W2970048283","https://openalex.org/W2970694761","https://openalex.org/W2989573822","https://openalex.org/W6720467090","https://openalex.org/W6730007411","https://openalex.org/W6746034047","https://openalex.org/W6767398808"],"related_works":["https://openalex.org/W3086583298","https://openalex.org/W2968299681","https://openalex.org/W3013211776","https://openalex.org/W2783231089","https://openalex.org/W2953591873","https://openalex.org/W2977667302","https://openalex.org/W1833143043","https://openalex.org/W3159196909","https://openalex.org/W3155438076","https://openalex.org/W3165550458","https://openalex.org/W2803704088","https://openalex.org/W2994041045","https://openalex.org/W3196048515","https://openalex.org/W2991093009","https://openalex.org/W2750423206","https://openalex.org/W3135736667","https://openalex.org/W3047057232","https://openalex.org/W3097618751","https://openalex.org/W2999607073","https://openalex.org/W2533800772"],"abstract_inverted_index":{"During":[0],"the":[1,24,53,69,120],"recent":[2],"years,":[3],"fashion":[4,27,36,40,60,70,95,128],"landmark":[5,19,56,71,100,129],"detection":[6,20,57,72,92,101],"has":[7,124],"attracted":[8],"great":[9],"attention":[10],"of":[11,17,26],"many":[12],"researchers.":[13],"The":[14,94],"main":[15],"task":[16],"Fashion":[18],"is":[21,32,114],"to":[22,67],"recognize":[23],"components":[25],"in":[28,50,104,119],"images,":[29],"therefore":[30],"it":[31],"essential":[33],"for":[34,59,99],"other":[35],"applications":[37],"such":[38],"as":[39,107],"classification,":[41],"retrieval,":[42],"design":[43],"and":[44,126],"recommendation.":[45],"By":[46],"utilizing":[47],"various":[48],"techniques":[49],"deep":[51],"learning,":[52],"recently":[54,83],"proposed":[55,84],"methods":[58,89],"achieve":[61],"notable":[62],"performance,":[63],"this":[64,75,105],"motivates":[65],"us":[66],"review":[68,118],"works.":[73],"In":[74],"paper,":[76],"we":[77],"aim":[78],"at":[79],"roughly":[80],"categorizing":[81],"these":[82,88],"methods,":[85],"discussing":[86],"how":[87],"can":[90],"improve":[91],"performance.":[93],"benchmark":[96],"datasets":[97],"used":[98],"are":[102],"reviewed":[103,127],"paper":[106],"well.":[108],"To":[109],"our":[110],"best":[111],"knowledge,":[112],"there":[113],"no":[115],"a":[116],"single":[117],"current":[121],"literature":[122],"that":[123],"discussed":[125],"detection.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}