{"id":"https://openalex.org/W4390576755","doi":"https://doi.org/10.1109/access.2024.3349961","title":"Multi-Task Convolutional Neural Network for Image Aesthetic Assessment","display_name":"Multi-Task Convolutional Neural Network for Image Aesthetic Assessment","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390576755","doi":"https://doi.org/10.1109/access.2024.3349961"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3349961","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3349961","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10380591.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10380591.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054083027","display_name":"Derya Soydaner","orcid":"https://orcid.org/0000-0002-3212-6711"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Derya Soydaner","raw_affiliation_strings":["Department of Brain and Cognition, University of Leuven (KU Leuven), Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-3212-6711","affiliations":[{"raw_affiliation_string":"Department of Brain and Cognition, University of Leuven (KU Leuven), Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014055174","display_name":"Johan Wagemans","orcid":"https://orcid.org/0000-0002-7970-1541"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Johan Wagemans","raw_affiliation_strings":["Department of Brain and Cognition, University of Leuven (KU Leuven), Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-7970-1541","affiliations":[{"raw_affiliation_string":"Department of Brain and Cognition, University of Leuven (KU Leuven), Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054083027"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.8533,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94375747,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"4716","last_page":"4729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9980000257492065,"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":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8454995155334473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8007005453109741},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7832356691360474},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7343054413795471},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6362740993499756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6199765205383301},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5805972814559937},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5468331575393677},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5350419878959656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5327332615852356},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.518798291683197},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46184462308883667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11040812730789185}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8454995155334473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8007005453109741},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7832356691360474},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7343054413795471},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6362740993499756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6199765205383301},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5805972814559937},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5468331575393677},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5350419878959656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5327332615852356},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.518798291683197},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46184462308883667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11040812730789185},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3349961","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3349961","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10380591.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/735255","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/735255","pdf_url":"https://lirias.kuleuven.be/retrieve/159567e1-3bb9-4639-af50-616d6a2a7513","source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ieee Access, vol. 12, (4716-4729)","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:f90a481e97fe4f378ee320c26b45eb18","is_oa":true,"landing_page_url":"https://doaj.org/article/f90a481e97fe4f378ee320c26b45eb18","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":"IEEE Access, Vol 12, Pp 4716-4729 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3349961","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3349961","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10380591.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7061300683","display_name":null,"funder_award_id":"101053925","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G7918671780","display_name":null,"funder_award_id":"101053925","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390576755.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2009678853","https://openalex.org/W2051596736","https://openalex.org/W2078807908","https://openalex.org/W2108598243","https://openalex.org/W2157364932","https://openalex.org/W2194775991","https://openalex.org/W2217895792","https://openalex.org/W2293846591","https://openalex.org/W2295107390","https://openalex.org/W2347072820","https://openalex.org/W2417288846","https://openalex.org/W2529088810","https://openalex.org/W2734838866","https://openalex.org/W2899146193","https://openalex.org/W2904852565","https://openalex.org/W2962858109","https://openalex.org/W2964137095","https://openalex.org/W2965006338","https://openalex.org/W2969536649","https://openalex.org/W2981548364","https://openalex.org/W2989847975","https://openalex.org/W3003957020","https://openalex.org/W3012036153","https://openalex.org/W3022710784","https://openalex.org/W3026001103","https://openalex.org/W3086183363","https://openalex.org/W3095157576","https://openalex.org/W3118210634","https://openalex.org/W4205961887","https://openalex.org/W4285787548","https://openalex.org/W4287597851","https://openalex.org/W4293519076","https://openalex.org/W4316660594","https://openalex.org/W4322576760","https://openalex.org/W4362471799","https://openalex.org/W4372037384","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6637568146","https://openalex.org/W6682889407","https://openalex.org/W6684191040","https://openalex.org/W6740725058","https://openalex.org/W6762718338","https://openalex.org/W6785649979"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W4321353415","https://openalex.org/W2913146933","https://openalex.org/W2745001401","https://openalex.org/W2372385138","https://openalex.org/W4296359239"],"abstract_inverted_index":{"As":[0],"people\u2019s":[1],"aesthetic":[2,11,34,67,99,117],"preferences":[3],"for":[4,76,101,141],"images":[5,102],"are":[6],"far":[7],"from":[8],"understood,":[9],"image":[10,107],"assessment":[12],"is":[13,26],"a":[14,44,138],"challenging":[15],"artificial":[16],"intelligence":[17],"task.":[18],"The":[19,55],"range":[20],"of":[21,69,82,106,115,131,172],"factors":[22],"underlying":[23],"this":[24,40,148],"task":[25],"almost":[27],"unlimited,":[28],"but":[29],"we":[30,42],"know":[31],"that":[32,49,88],"some":[33],"attributes":[35,62],"affect":[36],"those":[37],"preferences.":[38],"In":[39],"study,":[41],"present":[43],"multi-task":[45,72,157],"convolutional":[46],"neural":[47,57,158],"network":[48,58],"takes":[50],"into":[51],"account":[52],"these":[53],"attributes.":[54],"proposed":[56,90],"jointly":[59],"learns":[60],"the":[61,65,80,89,93,121,129,161],"along":[63],"with":[64],"overall":[66,98,116],"scores":[68,100,118],"images.":[70],"This":[71],"learning":[73],"framework":[74],"allows":[75],"effective":[77],"generalization":[78],"through":[79],"utilization":[81],"shared":[83],"representations.":[84],"Our":[85],"experiments":[86],"demonstrate":[87],"method":[91,167],"outperforms":[92],"state-of-the-art":[94],"approaches":[95],"in":[96,103,113,133,160,170],"predicting":[97],"one":[104],"benchmark":[105],"aesthetics.":[108],"We":[109],"achieve":[110],"near-human":[111],"performance":[112,149],"terms":[114,171],"when":[119],"considering":[120],"Spearman\u2019s":[122],"rank":[123],"correlations.":[124],"Moreover,":[125],"our":[126,145,166],"model":[127],"pioneers":[128],"application":[130],"multi-tasking":[132],"another":[134],"benchmark,":[135],"serving":[136],"as":[137],"new":[139],"baseline":[140],"future":[142],"research.":[143],"Notably,":[144],"approach":[146],"achieves":[147],"while":[150],"using":[151],"fewer":[152],"parameters":[153],"compared":[154],"to":[155],"existing":[156],"networks":[159],"literature,":[162],"and":[163],"consequently":[164],"makes":[165],"more":[168],"efficient":[169],"computational":[173],"complexity.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-18T08:16:58.900851","created_date":"2025-10-10T00:00:00"}