{"id":"https://openalex.org/W7165476193","doi":"https://doi.org/10.1007/s13735-026-00401-2","title":"H-ARN: A holo-attentive relational network for holistic facial beauty prediction via distribution learning","display_name":"H-ARN: A holo-attentive relational network for holistic facial beauty prediction via distribution learning","publication_year":2026,"publication_date":"2026-06-21","ids":{"openalex":"https://openalex.org/W7165476193","doi":"https://doi.org/10.1007/s13735-026-00401-2"},"language":"en","primary_location":{"id":"doi:10.1007/s13735-026-00401-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13735-026-00401-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13735-026-00401-2.pdf","source":{"id":"https://openalex.org/S2496055428","display_name":"International Journal of Multimedia Information Retrieval","issn_l":"2192-6611","issn":["2192-6611","2192-662X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Information Retrieval","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13735-026-00401-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139043457","display_name":"D. Eddine Boukhari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140819","display_name":"CRSTRA","ror":"https://ror.org/056ahff07","country_code":"DZ","type":"facility","lineage":["https://openalex.org/I4210140819"]},{"id":"https://openalex.org/I4210154551","display_name":"Centre Hospitalo-Universitaire Bab El Oued","ror":"https://ror.org/05qf3bt68","country_code":"DZ","type":"healthcare","lineage":["https://openalex.org/I4210154551"]},{"id":"https://openalex.org/I4210157185","display_name":"University of Eloued","ror":"https://ror.org/05416s909","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210157185"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"D. Eddine Boukhari","raw_affiliation_strings":["Scientific and Technical Research Centre for Arid Areas, CRSTRA, Biskra, 07000, Biskra, Algeria","University of El Oued, 39000, El-Oued, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scientific and Technical Research Centre for Arid Areas, CRSTRA, Biskra, 07000, Biskra, Algeria","institution_ids":["https://openalex.org/I4210140819"]},{"raw_affiliation_string":"University of El Oued, 39000, El-Oued, Algeria","institution_ids":["https://openalex.org/I4210154551","https://openalex.org/I4210157185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135369033","display_name":"F. Dornaika","orcid":null},"institutions":[{"id":"https://openalex.org/I110594554","display_name":"Ikerbasque","ror":"https://ror.org/01cc3fy72","country_code":"ES","type":"other","lineage":["https://openalex.org/I110594554"]},{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"F. Dornaika","raw_affiliation_strings":["IKERBASQUE, Basque Foundation for Science, Bilbao, 48009, Spain","University of the Basque Country, San Sebastian, 20018, Bilbao, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IKERBASQUE, Basque Foundation for Science, Bilbao, 48009, Spain","institution_ids":["https://openalex.org/I110594554"]},{"raw_affiliation_string":"University of the Basque Country, San Sebastian, 20018, Bilbao, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139052925","display_name":"J. Charafeddine","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123827","display_name":"Vinci (France)","ror":"https://ror.org/03e278q38","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210123827"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Charafeddine","raw_affiliation_strings":["De Vinci Higher Education, De Vinci Research Center, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De Vinci Higher Education, De Vinci Research Center, Paris, France","institution_ids":["https://openalex.org/I4210123827"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5135369033"],"corresponding_institution_ids":["https://openalex.org/I110594554","https://openalex.org/I169108374"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77330035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.36809998750686646,"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":0.36809998750686646,"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/T11118","display_name":"Evolutionary Psychology and Human Behavior","score":0.2572999894618988,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.0544000007212162,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6877999901771545},{"id":"https://openalex.org/keywords/beauty","display_name":"Beauty","score":0.5414000153541565},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4693000018596649},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4442000091075897},{"id":"https://openalex.org/keywords/subjectivity","display_name":"Subjectivity","score":0.4433000087738037},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4325999915599823},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42170000076293945},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.39070001244544983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8209999799728394},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6877999901771545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.65420001745224},{"id":"https://openalex.org/C2780620123","wikidata":"https://www.wikidata.org/wiki/Q7242","display_name":"Beauty","level":2,"score":0.5414000153541565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5178999900817871},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4693000018596649},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4442000091075897},{"id":"https://openalex.org/C202889954","wikidata":"https://www.wikidata.org/wiki/Q1139554","display_name":"Subjectivity","level":2,"score":0.4433000087738037},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4325999915599823},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42170000076293945},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.39070001244544983},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C2776453491","wikidata":"https://www.wikidata.org/wiki/Q5659234","display_name":"Harmony (color)","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2750000059604645},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13735-026-00401-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13735-026-00401-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13735-026-00401-2.pdf","source":{"id":"https://openalex.org/S2496055428","display_name":"International Journal of Multimedia Information Retrieval","issn_l":"2192-6611","issn":["2192-6611","2192-662X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Information Retrieval","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s13735-026-00401-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13735-026-00401-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13735-026-00401-2.pdf","source":{"id":"https://openalex.org/S2496055428","display_name":"International Journal of Multimedia Information Retrieval","issn_l":"2192-6611","issn":["2192-6611","2192-662X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Information Retrieval","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335007","display_name":"Direction G\u00e9n\u00e9rale de la Recherche Scientifique et du D\u00e9veloppement Technologique","ror":"https://ror.org/04jpfrv51"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7165476193.pdf","grobid_xml":"https://content.openalex.org/works/W7165476193.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1994835217","https://openalex.org/W2112987325","https://openalex.org/W2132570356","https://openalex.org/W2170804235","https://openalex.org/W2194775991","https://openalex.org/W2231999017","https://openalex.org/W2503043390","https://openalex.org/W2549139847","https://openalex.org/W2620075774","https://openalex.org/W2938982646","https://openalex.org/W2950135298","https://openalex.org/W2962769166","https://openalex.org/W2962863251","https://openalex.org/W2964118336","https://openalex.org/W2965131684","https://openalex.org/W2965944357","https://openalex.org/W3046500874","https://openalex.org/W3048043446","https://openalex.org/W3138516171","https://openalex.org/W3153420749","https://openalex.org/W3212386989","https://openalex.org/W4210566286","https://openalex.org/W4213018848","https://openalex.org/W4282941640","https://openalex.org/W4324131377","https://openalex.org/W4327846218","https://openalex.org/W4353100291","https://openalex.org/W4391378989","https://openalex.org/W4407247585","https://openalex.org/W4407901675","https://openalex.org/W4410229616","https://openalex.org/W4413755662","https://openalex.org/W4415297524","https://openalex.org/W4415596636","https://openalex.org/W4416380324"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Facial":[1],"Beauty":[2],"Prediction":[3],"(FBP)":[4],"remains":[5],"a":[6,45,52,65,97,115,120,149],"significant":[7],"challenge":[8],"in":[9,24,109],"computer":[10],"vision,":[11],"primarily":[12],"due":[13],"to":[14,50,69,102],"the":[15,22,26,60,82,89,105,128,141],"inherent":[16],"subjectivity":[17,106],"of":[18,29,84,93,154],"human":[19],"perception":[20],"and":[21,48,91,107],"difficulty":[23],"modeling":[25],"holistic":[27],"harmony":[28],"facial":[30,133],"features.":[31],"Existing":[32],"deep":[33],"learning":[34,86,127],"models,":[35],"typically":[36],"based":[37],"on":[38,140],"Convolutional":[39],"Neural":[40],"Networks":[41],"(CNNs),":[42],"often":[43],"regress":[44],"deterministic":[46],"score":[47],"struggle":[49],"surpass":[51],"performance":[53],"plateau.":[54],"In":[55],"this":[56],"work,":[57],"we":[58],"propose":[59],"Holo-Attentive":[61],"Relational":[62],"Network":[63],"(H-ARN),":[64],"novel":[66],"architecture":[67],"designed":[68],"overcome":[70],"these":[71],"fundamental":[72],"limitations.":[73],"H-ARN":[74,147],"makes":[75],"two":[76],"primary":[77],"contributions:":[78],"(1)":[79],"It":[80,113],"pioneers":[81],"use":[83],"distribution":[85],"by":[87],"predicting":[88],"mean":[90],"variance":[92],"beauty":[94],"scores,":[95],"employing":[96],"Gaussian":[98],"Negative":[99],"Log-Likelihood":[100],"loss":[101],"robustly":[103],"model":[104],"ambiguity":[108],"training":[110],"data.":[111],"(2)":[112],"introduces":[114],"relational":[116],"self-attention":[117],"module":[118],"atop":[119],"powerful":[121],"Vision":[122],"Transformer":[123],"(ViT)":[124],"backbone,":[125],"explicitly":[126],"complex,":[129],"long-range":[130],"relationships":[131],"between":[132],"components":[134],"that":[135],"define":[136],"aesthetic":[137],"harmony.":[138],"Evaluated":[139],"challenging":[142],"SCUT-FBP5500":[143],"benchmark,":[144],"our":[145],"proposed":[146],"achieves":[148],"new":[150],"state-of-the-art":[151],"Pearson":[152],"Correlation":[153],"0.9333,":[155],"significantly":[156],"outperforming":[157],"previous":[158],"methods.":[159],"The":[160],"code":[161],"will":[162],"be":[163],"made":[164],"publicly":[165],"available":[166],"upon":[167],"publication":[168],"https://github.com/DjameleddineBoukhari/H-ARN":[169],".":[170]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-06-22T00:00:00"}
