{"id":"https://openalex.org/W4392411862","doi":"https://doi.org/10.1109/ijcb57857.2023.10448711","title":"KinfaceNet: A New Deep Transfer Learning based Kinship Feature Extraction Framework","display_name":"KinfaceNet: A New Deep Transfer Learning based Kinship Feature Extraction Framework","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4392411862","doi":"https://doi.org/10.1109/ijcb57857.2023.10448711"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb57857.2023.10448711","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb57857.2023.10448711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-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/A5102605008","display_name":"Pallabi Ghosh","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pallabi Ghosh","raw_affiliation_strings":["Univ. of Florida"],"affiliations":[{"raw_affiliation_string":"Univ. of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011935572","display_name":"Sumaiya Shomaji","orcid":"https://orcid.org/0000-0003-3478-4360"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumaiya Shomaji","raw_affiliation_strings":["Univ. of Kansas"],"affiliations":[{"raw_affiliation_string":"Univ. of Kansas","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055751228","display_name":"Damon L. Woodard","orcid":"https://orcid.org/0000-0002-0471-177X"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Damon L. Woodard","raw_affiliation_strings":["Univ. of Florida"],"affiliations":[{"raw_affiliation_string":"Univ. of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009243659","display_name":"Domenic Forte","orcid":"https://orcid.org/0000-0002-2794-7320"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Domenic Forte","raw_affiliation_strings":["Univ. of Florida"],"affiliations":[{"raw_affiliation_string":"Univ. of Florida","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102605008"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46752025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9948999881744385,"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":0.9948999881744385,"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":0.921500027179718,"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":0.909500002861023,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.7348380088806152},{"id":"https://openalex.org/keywords/kinship","display_name":"Kinship","score":0.7216771245002747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6917588710784912},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5701104402542114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.505728006362915},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4401966333389282},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.41999825835227966},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.0775328278541565}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7348380088806152},{"id":"https://openalex.org/C144348335","wikidata":"https://www.wikidata.org/wiki/Q171318","display_name":"Kinship","level":2,"score":0.7216771245002747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917588710784912},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5701104402542114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.505728006362915},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4401966333389282},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.41999825835227966},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0775328278541565},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb57857.2023.10448711","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb57857.2023.10448711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1935928570","https://openalex.org/W1953929691","https://openalex.org/W1984514442","https://openalex.org/W2096733369","https://openalex.org/W2099263919","https://openalex.org/W2145773134","https://openalex.org/W2184983556","https://openalex.org/W2229405811","https://openalex.org/W2236612485","https://openalex.org/W2323476717","https://openalex.org/W2520903215","https://openalex.org/W2529099292","https://openalex.org/W2679426462","https://openalex.org/W2766372859","https://openalex.org/W2797200251","https://openalex.org/W2807351792","https://openalex.org/W2896936273","https://openalex.org/W2898539474","https://openalex.org/W2969336025","https://openalex.org/W3034773849","https://openalex.org/W3036295637","https://openalex.org/W3039317552","https://openalex.org/W3046152683","https://openalex.org/W3097623379","https://openalex.org/W3100231621","https://openalex.org/W3102609838","https://openalex.org/W3105535737","https://openalex.org/W3127722966","https://openalex.org/W3128708829","https://openalex.org/W3128995473","https://openalex.org/W3141334570","https://openalex.org/W3173153848","https://openalex.org/W3215141862","https://openalex.org/W3217435001","https://openalex.org/W4220866652","https://openalex.org/W4297849620","https://openalex.org/W4311548796","https://openalex.org/W4413566983","https://openalex.org/W6678259400","https://openalex.org/W6782335748"],"related_works":["https://openalex.org/W1579373186","https://openalex.org/W4312685612","https://openalex.org/W2046291598","https://openalex.org/W4317827232","https://openalex.org/W2890085216","https://openalex.org/W2504703202","https://openalex.org/W4252628068","https://openalex.org/W1708418756","https://openalex.org/W2976679446","https://openalex.org/W2414520379"],"abstract_inverted_index":{"Advances":[0],"in":[1,86,120,132,232],"vision":[2],"and":[3,13,140,157,242],"deep":[4,46,121],"learning":[5,47,92,122],"have":[6],"revolutionized":[7],"feature":[8,50,192],"extraction":[9],"for":[10,36],"face":[11,78,97,191,198],"recognition":[12,79,199],"verification":[14,19,210],"systems,":[15],"yet,":[16],"performing":[17],"kinship":[18,37,49,55,90,112,124,168,235],"from":[20,57,77,96,214,226],"such":[21,136],"features":[22,35,56,128,224],"is":[23,75,82,146,183,212],"still":[24],"challenging.":[25],"Ongoing":[26],"research":[27],"attempts":[28],"to":[29,99,108,164],"imitate":[30],"a":[31,45,58,93,100,109,159,206],"human":[32],"by":[33,91,148,205],"identifying":[34],"verification.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"propose":[43],"KinfaceNet,":[44],"based":[48,123,142],"extractor,":[51],"capable":[52],"of":[53,72,89,111,117,154,176,180],"extracting":[54],"single":[59],"input":[60],"image":[61,138],"independently":[62],"without":[63],"requiring":[64],"its":[65],"kin":[66,155],"pair":[67],"image.":[68],"The":[69],"base":[70],"model":[71,194],"the":[73,87,118,126,150,166,177,227,230,233],"method":[74],"adopted":[76],"domain":[80,88],"which":[81,171],"then":[83],"transfer":[84],"learned":[85],"distance":[94],"mapping":[95],"images":[98],"compact":[101],"Euclidean":[102],"space":[103],"where":[104],"distances":[105],"directly":[106],"correspond":[107],"measure":[110],"similarity.":[113],"Thus,":[114],"unlike":[115],"most":[116],"works":[119],"domain,":[125],"extracted":[127,225],"can":[129,186],"be":[130,187],"used":[131],"many":[133],"other":[134],"applications":[135],"as":[137,238,240],"generation":[139],"family":[141],"clustering,":[143],"etc.":[144],"Training":[145],"performed":[147,188],"rearranging":[149],"data":[151,169],"into":[152],"classes":[153],"pairs":[156],"using":[158],"state-of-the-art":[160],"triplet":[161],"mining":[162],"algorithm":[163],"address":[165],"unbalanced":[167],"problem":[170],"causes":[172],"overfitting.":[173],"Also,":[174],"one":[175],"major":[178],"advantages":[179],"our":[181],"framework":[182],"that":[184],"training":[185,203],"on":[189,196],"any":[190],"extractor":[193],"pre-trained":[195],"large":[197],"data,":[200],"thereby":[201],"reducing":[202],"time":[204],"considerable":[207],"amount.":[208],"Comparable":[209],"accuracy":[211],"obtained":[213],"simple":[215],"MLP":[216],"network":[217],"at":[218],"only":[219],"20th":[220],"epoch":[221],"with":[222],"KinfaceNet":[223],"Family-In-the-Wild":[228],"dataset,":[229],"largest":[231],"wild":[234],"dataset":[236],"available,":[237],"well":[239],"KinfaceW-I":[241],"II":[243],"datasets.":[244]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
