{"id":"https://openalex.org/W4210731988","doi":"https://doi.org/10.1155/2022/3730529","title":"Research on Face Local Attribute Detection Method Based on Improved SSD Network Structure","display_name":"Research on Face Local Attribute Detection Method Based on Improved SSD Network Structure","publication_year":2022,"publication_date":"2022-01-28","ids":{"openalex":"https://openalex.org/W4210731988","doi":"https://doi.org/10.1155/2022/3730529"},"language":"en","primary_location":{"id":"doi:10.1155/2022/3730529","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3730529","pdf_url":"https://downloads.hindawi.com/journals/am/2022/3730529.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/am/2022/3730529.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007238995","display_name":"Qun Luo","orcid":"https://orcid.org/0000-0002-7010-6447"},"institutions":[{"id":"https://openalex.org/I4210116886","display_name":"Chongqing Vocational Institute of Engineering","ror":"https://ror.org/0279ehd23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116886"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Luo","raw_affiliation_strings":["Information Engineering Department, Chongqing City Vocational College, Chongqing 402160, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering Department, Chongqing City Vocational College, Chongqing 402160, China","institution_ids":["https://openalex.org/I4210116886"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080663614","display_name":"Zhendong Liu","orcid":"https://orcid.org/0000-0002-0865-3079"},"institutions":[{"id":"https://openalex.org/I4210116886","display_name":"Chongqing Vocational Institute of Engineering","ror":"https://ror.org/0279ehd23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116886"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhendong Liu","raw_affiliation_strings":["Big Data Department, Chongqing City Vocational College, Chongqing 402160, China"],"raw_orcid":"https://orcid.org/0000-0002-0865-3079","affiliations":[{"raw_affiliation_string":"Big Data Department, Chongqing City Vocational College, Chongqing 402160, China","institution_ids":["https://openalex.org/I4210116886"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080663614"],"corresponding_institution_ids":["https://openalex.org/I4210116886"],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":0.5102,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62117724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.996399998664856,"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":0.996399998664856,"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/T10057","display_name":"Face and Expression Recognition","score":0.982200026512146,"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":0.9664999842643738,"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":0.7981771230697632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7611085176467896},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.6811767220497131},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6396428346633911},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5893083214759827},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5187916159629822},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5112683773040771},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4920582175254822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4813166856765747},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4705294370651245},{"id":"https://openalex.org/keywords/local-structure","display_name":"Local structure","score":0.4681335389614105},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.4586259722709656},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.42122697830200195},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1816883385181427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10794326663017273},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05518758296966553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7981771230697632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7611085176467896},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.6811767220497131},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6396428346633911},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5893083214759827},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5187916159629822},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5112683773040771},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4920582175254822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4813166856765747},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4705294370651245},{"id":"https://openalex.org/C2986090443","wikidata":"https://www.wikidata.org/wiki/Q77870413","display_name":"Local structure","level":2,"score":0.4681335389614105},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.4586259722709656},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.42122697830200195},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1816883385181427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10794326663017273},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05518758296966553},{"id":"https://openalex.org/C159467904","wikidata":"https://www.wikidata.org/wiki/Q2001702","display_name":"Chemical physics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2022/3730529","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3730529","pdf_url":"https://downloads.hindawi.com/journals/am/2022/3730529.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:16b7f44615504847b9015794e8c63951","is_oa":true,"landing_page_url":"https://doaj.org/article/16b7f44615504847b9015794e8c63951","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advances in Multimedia, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/3730529","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3730529","pdf_url":"https://downloads.hindawi.com/journals/am/2022/3730529.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210731988.pdf","grobid_xml":"https://content.openalex.org/works/W4210731988.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1934410531","https://openalex.org/W1970748944","https://openalex.org/W1989368986","https://openalex.org/W1997201895","https://openalex.org/W2043647123","https://openalex.org/W2044270390","https://openalex.org/W2102248644","https://openalex.org/W2105298248","https://openalex.org/W2115689562","https://openalex.org/W2118781693","https://openalex.org/W2133824671","https://openalex.org/W2141004768","https://openalex.org/W2209882149","https://openalex.org/W2290618524","https://openalex.org/W2490270993","https://openalex.org/W2778138942","https://openalex.org/W2802697544","https://openalex.org/W2884585870","https://openalex.org/W2995356865"],"related_works":["https://openalex.org/W2181570714","https://openalex.org/W3033332270","https://openalex.org/W1581632702","https://openalex.org/W2336272890","https://openalex.org/W3211418293","https://openalex.org/W325114128","https://openalex.org/W3183843611","https://openalex.org/W4308999381","https://openalex.org/W4308999963","https://openalex.org/W4285815683"],"abstract_inverted_index":{"The":[0,130],"existing":[1],"face":[2,13,28,44,51,70,96,126,166,177,192],"detection":[3,29,54,73,81,194],"methods":[4],"usually":[5],"had":[6,154],"the":[7,16,27,66,69,79,85,93,108,117,164],"problem":[8],"of":[9,12,18,68,95,107,163],"low":[10],"accuracy":[11],"recognition":[14,45,156],"in":[15,31,35,46,195],"environment":[17],"occlusion":[19],"interference,":[20],"which":[21],"was":[22,62,76,90,122,133],"limited":[23],"when":[24],"applied":[25],"to":[26,37,124],"task":[30],"complex":[32,48,196],"scenes.":[33,197],"Therefore,":[34],"order":[36],"realize":[38,125],"high":[39,155],"precision":[40],"and":[41,84,111,135,146,170,187],"real-time":[42],"local":[43,52,71,97,127,161,176,191],"a":[47,50,184],"environment,":[49],"attribute":[53,72,128,178,193],"method":[55,153,181],"based":[56],"on":[57,65],"improved":[58,118],"SSD":[59,75,109,119],"network":[60,82,110,120],"structure":[61,121],"proposed.":[63],"Based":[64],"analysis":[67],"task,":[74],"used":[77,91,123],"as":[78,92,142],"basic":[80],"structure,":[83],"VGG16":[86],"feature":[87],"extraction":[88],"model":[89,132],"framework":[94],"detection.":[98,129,179],"On":[99],"this":[100,152],"basis,":[101],"by":[102],"organically":[103],"connecting":[104],"different":[105],"layers":[106],"integrating":[112],"convolution":[113],"block":[114],"attention":[115],"module,":[116],"proposed":[131],"trained":[134],"tested":[136],"using":[137],"typical":[138],"public":[139],"datasets":[140],"such":[141],"Wider":[143],"Face,":[144],"MAFA,":[145],"COFW.":[147],"Experimental":[148],"results":[149],"showed":[150],"that":[151],"accuracy,":[157],"can":[158,171],"better":[159],"detect":[160],"features":[162],"human":[165],"than":[167],"other":[168],"models,":[169],"provide":[172,183],"some":[173],"support":[174,189],"for":[175,190],"This":[180],"would":[182],"theoretical":[185],"basis":[186],"technical":[188]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}