{"id":"https://openalex.org/W3153251248","doi":"https://doi.org/10.1155/2021/5577393","title":"Multideep Feature Fusion Algorithm for Clothing Style Recognition","display_name":"Multideep Feature Fusion Algorithm for Clothing Style Recognition","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3153251248","doi":"https://doi.org/10.1155/2021/5577393","mag":"3153251248"},"language":"en","primary_location":{"id":"doi:10.1155/2021/5577393","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5577393","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/5577393.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/wcmc/2021/5577393.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100432138","display_name":"Yuhua Li","orcid":"https://orcid.org/0000-0002-1866-6607"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Li","raw_affiliation_strings":["Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001, China","Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001"],"raw_orcid":"https://orcid.org/0000-0002-1866-6607","affiliations":[{"raw_affiliation_string":"Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689911","display_name":"Zhiqiang He","orcid":"https://orcid.org/0000-0002-4019-4669"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang He","raw_affiliation_strings":["Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001, China","Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001"],"raw_orcid":"https://orcid.org/0000-0002-4019-4669","affiliations":[{"raw_affiliation_string":"Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101834375","display_name":"Sunan Wang","orcid":"https://orcid.org/0000-0002-1836-1360"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sunan Wang","raw_affiliation_strings":["School of Electronic & Communication Engineering, Shenzhen Polytechnic, Shenzhen 518055, China","School of Electronic & Communication Engineering, Shenzhen Polytechnic, Shenzhen 518055"],"raw_orcid":"https://orcid.org/0000-0002-1836-1360","affiliations":[{"raw_affiliation_string":"School of Electronic & Communication Engineering, Shenzhen Polytechnic, Shenzhen 518055, China","institution_ids":["https://openalex.org/I182722699"]},{"raw_affiliation_string":"School of Electronic & Communication Engineering, Shenzhen Polytechnic, Shenzhen 518055","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114500326","display_name":"Zicheng Wang","orcid":"https://orcid.org/0000-0002-4286-5120"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zicheng Wang","raw_affiliation_strings":["Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001, China","Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001"],"raw_orcid":"https://orcid.org/0000-0002-4286-5120","affiliations":[{"raw_affiliation_string":"Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033003749","display_name":"Wanwei Huang","orcid":"https://orcid.org/0000-0002-7266-8830"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanwei Huang","raw_affiliation_strings":["Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001, China","Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001"],"raw_orcid":"https://orcid.org/0000-0002-7266-8830","affiliations":[{"raw_affiliation_string":"Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450001","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101834375"],"corresponding_institution_ids":["https://openalex.org/I182722699"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":2.4183,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89820063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9817000031471252,"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":0.9771999716758728,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.776330292224884},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.7512766122817993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7021488547325134},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6011360883712769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5958196520805359},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5504884123802185},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5487150549888611},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5446453094482422},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5332465171813965},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48322853446006775},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4812066853046417},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45036599040031433},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.43366241455078125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39696067571640015},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29456761479377747},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23140791058540344}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.776330292224884},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.7512766122817993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021488547325134},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6011360883712769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5958196520805359},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5504884123802185},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5487150549888611},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5446453094482422},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5332465171813965},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48322853446006775},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4812066853046417},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45036599040031433},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.43366241455078125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39696067571640015},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29456761479377747},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23140791058540344},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/5577393","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5577393","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/5577393.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:128d5f75bb3c497b85bad17f256db8f5","is_oa":true,"landing_page_url":"https://doaj.org/article/128d5f75bb3c497b85bad17f256db8f5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wireless Communications and Mobile Computing, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/5577393","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5577393","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/5577393.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1039216744","display_name":null,"funder_award_id":"212102210540","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6196846692","display_name":null,"funder_award_id":"62072414","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7652470190","display_name":null,"funder_award_id":"U1504608","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3153251248.pdf","grobid_xml":"https://content.openalex.org/works/W3153251248.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1920702274","https://openalex.org/W1981333244","https://openalex.org/W2056949507","https://openalex.org/W2086649520","https://openalex.org/W2096733369","https://openalex.org/W2104853049","https://openalex.org/W2107878631","https://openalex.org/W2121339428","https://openalex.org/W2141362318","https://openalex.org/W2147483361","https://openalex.org/W2151103935","https://openalex.org/W2171964228","https://openalex.org/W2183341477","https://openalex.org/W2217115543","https://openalex.org/W2332083140","https://openalex.org/W2528305538","https://openalex.org/W2540698934","https://openalex.org/W2587953898","https://openalex.org/W2606004785","https://openalex.org/W2755066373","https://openalex.org/W2767286887","https://openalex.org/W2809504593","https://openalex.org/W2884354140","https://openalex.org/W2902259735","https://openalex.org/W2952898185","https://openalex.org/W2963154697","https://openalex.org/W2963588253","https://openalex.org/W2964157791","https://openalex.org/W2964350391","https://openalex.org/W2986266941","https://openalex.org/W2998628802","https://openalex.org/W3003972759","https://openalex.org/W3003986704","https://openalex.org/W3009888228","https://openalex.org/W3011934803","https://openalex.org/W3014738121","https://openalex.org/W3021014763","https://openalex.org/W3035967575","https://openalex.org/W3046891004","https://openalex.org/W3088330075","https://openalex.org/W3099087703","https://openalex.org/W3099206234","https://openalex.org/W3112803832"],"related_works":["https://openalex.org/W2738456166","https://openalex.org/W2352745894","https://openalex.org/W2057731951","https://openalex.org/W2358836583","https://openalex.org/W2119941839","https://openalex.org/W2022897160","https://openalex.org/W2387983088","https://openalex.org/W2135888309","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"In":[0],"order":[1,148],"to":[2,24,42,84,102,120,180],"improve":[3,121],"recognition":[4,200],"accuracy":[5,209],"of":[6,14,27,57,94,106,149,169,195,210],"clothing":[7,28,45,52,72,171,204,212],"style":[8,74,213],"and":[9,37,91,109,145,153,215],"fully":[10],"exploit":[11],"the":[12,33,55,79,86,98,104,107,114,138,142,147,150,154,158,166,170,174,177,181,189,193,199,208,211,219],"advantages":[13],"deep":[15,19,38,221],"learning":[16],"in":[17,54,141],"extracting":[18],"semantic":[20],"features":[21,26,161,168],"from":[22,173],"global":[23,87,175],"local":[25],"images,":[29],"this":[30],"paper":[31],"utilizes":[32],"target":[34,81],"detection":[35,82],"technology":[36],"residual":[39,143,222],"network":[40],"(ResNet)":[41],"extract":[43,85],"comprehensive":[44],"features,":[46],"which":[47,96,126],"aims":[48],"at":[49],"focusing":[50],"on":[51,62,203],"itself":[53],"process":[56,201],"feature":[58,68,124],"extraction":[59],"procedure.":[60],"Based":[61],"that,":[63],"we":[64,77],"propose":[65],"a":[66],"multideep":[67],"fusion":[69,160],"algorithm":[70,191],"for":[71,123],"image":[73,172],"recognition.":[75],"First,":[76],"use":[78],"improved":[80,135],"model":[83,133],"area,":[88,176],"main":[89,178],"part,":[90,179],"part":[92,182],"areas":[93],"clothing,":[95],"constitute":[97],"image,":[99],"so":[100],"as":[101],"weaken":[103],"influence":[105,194],"background":[108],"other":[110],"interference":[111,196],"factors.":[112],"Then,":[113],"three":[115],"parts":[116],"were":[117,162],"inputted,":[118],"respectively,":[119],"ResNet":[122,132],"extraction,":[125],"has":[127],"been":[128],"trained":[129],"beforehand.":[130],"The":[131,184],"is":[134,216],"by":[136,164],"optimizing":[137],"convolution":[139],"layer":[140,152],"block":[144],"adjusting":[146],"batch\u2010normalized":[151],"activation":[155],"layer.":[156],"Finally,":[157],"multicategory":[159],"obtained":[163],"combining":[165],"overall":[167],"areas.":[183],"experimental":[185],"results":[186],"show":[187],"that":[188],"proposed":[190],"eliminates":[192],"factors,":[197],"makes":[198],"focus":[202],"itself,":[205],"greatly":[206],"improves":[207],"recognition,":[214],"better":[217],"than":[218],"traditional":[220],"network\u2010based":[223],"methods.":[224]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
