{"id":"https://openalex.org/W3186826765","doi":"https://doi.org/10.3233/jifs-210026","title":"Research on aesthetic models based on neural architecture search","display_name":"Research on aesthetic models based on neural architecture search","publication_year":2021,"publication_date":"2021-07-20","ids":{"openalex":"https://openalex.org/W3186826765","doi":"https://doi.org/10.3233/jifs-210026","mag":"3186826765"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-210026","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210026","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5100377999","display_name":"Lingyun Zhang","orcid":"https://orcid.org/0009-0007-8597-892X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyun Zhang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048283341","display_name":"Pingjian Zhang","orcid":"https://orcid.org/0000-0002-9087-4494"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pingjian Zhang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048283341"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.3820915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"41","issue":"2","first_page":"2953","last_page":"2967"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9979000091552734,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9979000091552734,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.7979090213775635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7211611270904541},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.664767324924469},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5812072157859802},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5502396821975708},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5390784740447998},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5152228474617004},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4868397116661072},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4662930369377136},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.46084949374198914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45674365758895874},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4150935709476471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3396355211734772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979090213775635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7211611270904541},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.664767324924469},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5812072157859802},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5502396821975708},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5390784740447998},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5152228474617004},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4868397116661072},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4662930369377136},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.46084949374198914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45674365758895874},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4150935709476471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3396355211734772},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-210026","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210026","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5199999809265137,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1511924373","https://openalex.org/W2047691626","https://openalex.org/W2056380823","https://openalex.org/W2514622527","https://openalex.org/W2604528050","https://openalex.org/W2754213847","https://openalex.org/W2767836774","https://openalex.org/W2805100367","https://openalex.org/W2884585870","https://openalex.org/W2949866915","https://openalex.org/W3003957020","https://openalex.org/W3026001103","https://openalex.org/W3093501041","https://openalex.org/W3097620961","https://openalex.org/W3103635814","https://openalex.org/W3121625413","https://openalex.org/W3147223315","https://openalex.org/W6630520941","https://openalex.org/W6753412334"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2810679507","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W2964954556","https://openalex.org/W3029198973","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Computational":[0],"aesthetics,":[1],"which":[2],"uses":[3],"computers":[4],"to":[5,26,36,48,69,80,93,110,129,183,209,221],"learn":[6],"human":[7,186],"aesthetic":[8,84,135,152,228],"habits":[9],"and":[10,40,120,133,166,175,206,230],"ultimately":[11],"replace":[12],"humans":[13],"in":[14,22,101],"scoring":[15],"images,":[16],"has":[17,91],"become":[18],"a":[19,77,122,131,177],"hot":[20],"topic":[21],"recent":[23],"years":[24],"due":[25],"its":[27],"wide":[28],"application.":[29],"Most":[30],"of":[31,54,150,154,162,168,218,225],"the":[32,52,142,148,151,155,158,164,169,172,191,203,211,223,231],"initial":[33],"research":[34],"is":[35,76],"manually":[37],"extract":[38,70],"features":[39],"use":[41],"classifiers":[42],"such":[43],"as":[44],"support":[45],"vector":[46],"machines":[47],"score":[49],"images.":[50],"With":[51],"development":[53],"deep":[55,102],"learning,":[56],"traditional":[57],"manual":[58],"feature":[59],"extraction":[60],"methods":[61],"are":[62],"gradually":[63],"replaced":[64],"by":[65,146,171],"convolutional":[66],"neural":[67,85,96],"networks":[68,97],"more":[71],"comprehensive":[72],"features.":[73],"However,":[74],"it":[75],"huge":[78],"challenge":[79],"artificially":[81],"design":[82,119,215],"an":[83,200],"network.":[86],"Recently,":[87],"Neural":[88,112],"Architecture":[89,113],"Search":[90,114],"upsurged":[92],"find":[94],"suitable":[95],"for":[98],"many":[99],"tasks":[100],"learning.":[103],"In":[104,138],"this":[105],"paper,":[106],"we":[107,140,194,214],"first":[108],"attempt":[109],"combine":[111],"with":[115],"computational":[116],"aesthetics.":[117],"We":[118],"apply":[121],"customized":[123],"progressive":[124],"differentiable":[125],"architecture":[126],"search":[127],"strategy":[128],"obtain":[130],"light-weighted":[132],"efficient":[134],"baseline":[136,192,227],"model.":[137],"addition,":[139],"simulate":[141],"multi-person":[143],"rating":[144],"mechanism":[145],"outputting":[147],"distribution":[149],"value":[153],"image,":[156],"replacing":[157],"previous":[159],"classification":[160],"scheme":[161],"judging":[163],"beauty":[165],"unbeauty":[167],"image":[170],"threshold":[173],"value,":[174],"propose":[176],"self-weighted":[178],"Earth":[179],"Mover\u2019s":[180],"Distance":[181],"loss":[182],"better":[184],"fit":[185],"subjective":[187],"scoring.":[188],"Based":[189],"on":[190],"model,":[193],"further":[195],"introduce":[196],"several":[197,216],"strategies":[198],"including":[199],"attention":[201],"mechanism,":[202],"dilated":[204],"convolution,":[205],"adaptive":[207],"pooling,":[208],"enhance":[210],"performance.":[212],"Finally,":[213],"groups":[217],"comparative":[219],"experiments":[220],"demonstrate":[222],"effectiveness":[224],"our":[226],"model":[229],"introduced":[232],"improvement":[233],"strategies.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}