{"id":"https://openalex.org/W4401880154","doi":"https://doi.org/10.1109/access.2024.3445178","title":"Relative Age Position Learning for Face-Based Age Estimation","display_name":"Relative Age Position Learning for Face-Based Age Estimation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401880154","doi":"https://doi.org/10.1109/access.2024.3445178"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3445178","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3445178","pdf_url":null,"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":"http://dx.doi.org/10.1109/access.2024.3445178","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093294110","display_name":"Sevara Amirullaeva","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sevara Amirullaeva","raw_affiliation_strings":["Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062826616","display_name":"Ji-Hyeong Han","orcid":"https://orcid.org/0000-0001-8391-6898"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji-Hyeong Han","raw_affiliation_strings":["Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5093294110"],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13149945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"118832","last_page":"118841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T11374","display_name":"Cleft Lip and Palate Research","score":0.9442999958992004,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.939300000667572,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/face","display_name":"Face (sociological concept)","score":0.6214792132377625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.604188859462738},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5969449281692505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5581689476966858},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4862784147262573},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4071662724018097},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08283478021621704}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6214792132377625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.604188859462738},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5969449281692505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5581689476966858},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4862784147262573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4071662724018097},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08283478021621704},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3445178","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3445178","pdf_url":null,"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:doaj.org/article:2f8e19312387492097704b625e2edd8c","is_oa":true,"landing_page_url":"https://doaj.org/article/2f8e19312387492097704b625e2edd8c","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":"IEEE Access, Vol 12, Pp 118832-118841 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3445178","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3445178","pdf_url":null,"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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1167806532","https://openalex.org/W1905153633","https://openalex.org/W1972960842","https://openalex.org/W2115651492","https://openalex.org/W2158735869","https://openalex.org/W2194775991","https://openalex.org/W2239239723","https://openalex.org/W2341528187","https://openalex.org/W2440214111","https://openalex.org/W2472456744","https://openalex.org/W2510725918","https://openalex.org/W2515770085","https://openalex.org/W2553156677","https://openalex.org/W2603777577","https://openalex.org/W2663800299","https://openalex.org/W2748140016","https://openalex.org/W2807744618","https://openalex.org/W2955216108","https://openalex.org/W2962851632","https://openalex.org/W2972367691","https://openalex.org/W2981408784","https://openalex.org/W2998570557","https://openalex.org/W3014895431","https://openalex.org/W3039387751","https://openalex.org/W3084314976","https://openalex.org/W3092299393","https://openalex.org/W3097760447","https://openalex.org/W3101998545","https://openalex.org/W3105616927","https://openalex.org/W3166898278","https://openalex.org/W3173366159","https://openalex.org/W3179333658","https://openalex.org/W3213050152","https://openalex.org/W4205250574","https://openalex.org/W4213421704","https://openalex.org/W4288249112","https://openalex.org/W4312771329","https://openalex.org/W4320915186","https://openalex.org/W4365148794","https://openalex.org/W4386076055","https://openalex.org/W4387068049","https://openalex.org/W4392956684","https://openalex.org/W4402072291","https://openalex.org/W4402727470","https://openalex.org/W6637373629","https://openalex.org/W6678393071","https://openalex.org/W6729110096","https://openalex.org/W6767557464","https://openalex.org/W6780820280","https://openalex.org/W6783661605","https://openalex.org/W6797405551","https://openalex.org/W6854169321","https://openalex.org/W6862284069"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"the":[3,12,44,54,57,69,72,116,121,130],"concept":[4],"of":[5,56,71,120],"relative":[6,87],"age":[7,16,46,62,77,88,99,136,146],"position":[8,89],"learning":[9,13,111],"to":[10,39,67,93,107],"supplement":[11],"process":[14],"for":[15,60,86,144],"estimation":[17,47,137],"models.":[18],"Drawing":[19],"inspiration":[20],"from":[21],"feature":[22,41],"recalibration":[23],"modules":[24],"that":[25,113,129],"prioritize":[26],"features":[27,55,70,82],"based":[28,75],"on":[29,76,139],"their":[30],"importance,":[31],"a":[32,101,109],"novel":[33],"age-based":[34],"reweighting":[35,51],"module":[36,52],"is":[37,105],"developed":[38],"enhance":[40],"representation":[42],"in":[43,98],"proposed":[45,50,131],"method.":[48],"The":[49,79],"obtains":[53],"selected":[58],"references":[59],"each":[61],"and":[63,118,150],"further":[64],"exploits":[65],"them":[66],"reweight":[68],"input":[73,122],"images":[74],"importance.":[78],"resulting":[80],"recalibrated":[81],"are":[83],"then":[84],"assessed":[85],"prediction.":[90],"In":[91],"addition,":[92],"achieve":[94],"better":[95],"generalization":[96],"performance":[97],"estimation,":[100],"gender":[102],"prediction":[103],"head":[104],"added":[106],"create":[108],"multi-task":[110],"network":[112],"simultaneously":[114],"predicts":[115],"ages":[117],"genders":[119],"images.":[123],"Through":[124],"extensive":[125],"experiments,":[126],"we":[127],"demonstrate":[128],"approach":[132],"outperforms":[133],"other":[134],"state-of-the-art":[135],"methods":[138],"three":[140],"challenging":[141],"benchmark":[142],"datasets":[143],"facial":[145],"estimation:":[147],"AgeDB,":[148],"AFAD,":[149],"CACD.":[151]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
