{"id":"https://openalex.org/W2963940609","doi":"https://doi.org/10.1109/access.2019.2929939","title":"Adversarial Similarity Metric Learning for Kinship Verification","display_name":"Adversarial Similarity Metric Learning for Kinship Verification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2963940609","doi":"https://doi.org/10.1109/access.2019.2929939","mag":"2963940609"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2929939","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929939","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08766791.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8600701/08766791.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053602127","display_name":"Zeqiang Wei","orcid":"https://orcid.org/0000-0002-1901-3819"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeqiang Wei","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008834","display_name":"Min Xu","orcid":"https://orcid.org/0000-0002-9784-5792"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9784-5792","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lin Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Geng","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705418","display_name":"Haoming Liu","orcid":"https://orcid.org/0000-0003-1412-4015"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210133846","display_name":"Peking University International Hospital","ror":"https://ror.org/03jxhcr96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133846"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoming Liu","raw_affiliation_strings":["Beijing International Center for Mathematical Research, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing International Center for Mathematical Research, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210133846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023171091","display_name":"Hua Yin","orcid":"https://orcid.org/0000-0003-3534-5124"},"institutions":[{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]},{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yin","raw_affiliation_strings":["School of Information, Guangdong University of Finance and Economics, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Guangdong University of Finance and Economics, Guangzhou, China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9321,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.89264176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"100029","last_page":"100035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9995999932289124,"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":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.9842000007629395,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9621000289916992,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7829005718231201},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7362285852432251},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7046551704406738},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.642769992351532},{"id":"https://openalex.org/keywords/kinship","display_name":"Kinship","score":0.6023715734481812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5965656042098999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5507616996765137},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.4488159716129303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3851088285446167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35406678915023804},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07839268445968628},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.07332563400268555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06572812795639038}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7829005718231201},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7362285852432251},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7046551704406738},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.642769992351532},{"id":"https://openalex.org/C144348335","wikidata":"https://www.wikidata.org/wiki/Q171318","display_name":"Kinship","level":2,"score":0.6023715734481812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5965656042098999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5507616996765137},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.4488159716129303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3851088285446167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35406678915023804},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07839268445968628},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.07332563400268555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06572812795639038},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2929939","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929939","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08766791.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e2438069f53e4e6cb1b144b8bff609a5","is_oa":true,"landing_page_url":"https://doaj.org/article/e2438069f53e4e6cb1b144b8bff609a5","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 7, Pp 100029-100035 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2929939","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929939","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08766791.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7184859315","display_name":null,"funder_award_id":"31571563","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8159071088","display_name":null,"funder_award_id":"61601310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963940609.pdf","grobid_xml":"https://content.openalex.org/works/W2963940609.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W73315491","https://openalex.org/W1241252238","https://openalex.org/W1488199789","https://openalex.org/W1532499126","https://openalex.org/W1532692498","https://openalex.org/W1546430343","https://openalex.org/W1945616565","https://openalex.org/W1972014290","https://openalex.org/W1996337501","https://openalex.org/W1998230826","https://openalex.org/W2012783213","https://openalex.org/W2027835378","https://openalex.org/W2036509154","https://openalex.org/W2076434944","https://openalex.org/W2079742827","https://openalex.org/W2099263919","https://openalex.org/W2100799972","https://openalex.org/W2105709960","https://openalex.org/W2108909793","https://openalex.org/W2110599581","https://openalex.org/W2112999064","https://openalex.org/W2117154949","https://openalex.org/W2120100419","https://openalex.org/W2125911081","https://openalex.org/W2129440600","https://openalex.org/W2132074694","https://openalex.org/W2132886138","https://openalex.org/W2138019504","https://openalex.org/W2145287260","https://openalex.org/W2145773134","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2163808566","https://openalex.org/W2164322079","https://openalex.org/W2171456302","https://openalex.org/W2172260703","https://openalex.org/W2251848467","https://openalex.org/W2323684557","https://openalex.org/W2559849696","https://openalex.org/W2560852071","https://openalex.org/W2741989495","https://openalex.org/W2753718636","https://openalex.org/W2797200251","https://openalex.org/W2800833042","https://openalex.org/W2804093170","https://openalex.org/W2806332870","https://openalex.org/W2897151190","https://openalex.org/W2913071101","https://openalex.org/W2963207607","https://openalex.org/W2964172727","https://openalex.org/W3101857744","https://openalex.org/W6602994362","https://openalex.org/W6629240041","https://openalex.org/W6631637103","https://openalex.org/W6631903953","https://openalex.org/W6632543029","https://openalex.org/W6640425456","https://openalex.org/W6675968127","https://openalex.org/W6676305975","https://openalex.org/W6677328822","https://openalex.org/W6681440187","https://openalex.org/W6685096548"],"related_works":["https://openalex.org/W1579373186","https://openalex.org/W4312685612","https://openalex.org/W2890085216","https://openalex.org/W2502115930","https://openalex.org/W2046291598","https://openalex.org/W2504703202","https://openalex.org/W4317827232","https://openalex.org/W1708418756","https://openalex.org/W2976679446","https://openalex.org/W2414520379"],"abstract_inverted_index":{"Given":[0],"a":[1,18,34,149],"pair":[2],"of":[3,43,102,176],"facial":[4],"images,":[5],"it":[6],"is":[7,17],"an":[8,88],"interesting":[9],"yet":[10],"challenging":[11],"problem":[12],"to":[13,65,118,134,137,189],"determine":[14],"if":[15],"there":[16],"kin":[19,35],"relation":[20],"between":[21,78],"them.":[22],"Recent":[23],"research":[24],"on":[25,166],"that":[26],"topic":[27],"has":[28],"made":[29],"encouraging":[30],"progress":[31],"by":[32,158],"learning":[33,47,187],"similarity":[36,122,153],"metric":[37,46,130,154,186],"from":[38],"kinship":[39,171,190],"data.":[40],"However,":[41],"most":[42],"the":[44,71,79,120,128,140,144,161,167,174,184],"existing":[45],"algorithms":[48],"cannot":[49,60],"handle":[50],"hard":[51],"samples":[52],"very":[53],"well,":[54],"i.e.,":[55],"some":[56,66],"ambiguous":[57,112],"test":[58],"pairs":[59,114,142],"be":[61,156],"well":[62],"classified":[63],"due":[64],"compounding":[67],"factors,":[68],"such":[69],"as":[70],"large":[72],"age":[73],"gap":[74],"or":[75],"gender":[76],"difference":[77],"parents":[80],"and":[81,107,143,151],"children.":[82],"To":[83],"address":[84],"this,":[85],"we":[86],"propose":[87],"Adversarial":[89],"Similarity":[90],"Metric":[91],"Learning":[92],"(ASML)":[93],"method":[94,180],"in":[95,125,181],"this":[96],"paper.":[97],"More":[98],"specifically,":[99],"ASML":[100,179],"consists":[101],"two":[103,162,168],"adversarial":[104,113,146,163],"phases:":[105],"confusion":[106,110],"discrimination.":[108],"In":[109],"phase,":[111,127],"are":[115],"automatically":[116],"generated":[117,145],"challenge":[119],"learned":[121,129,157],"metric;":[123],"while":[124],"discrimination":[126],"tries":[131],"its":[132],"best":[133],"adjust":[135],"itself":[136],"distinguish":[138],"both":[139],"original":[141],"pairs.":[147],"Consequently,":[148],"robust":[150],"discriminative":[152],"can":[155],"iteratively":[159],"performing":[160],"phases.":[164],"Experiments":[165],"widely":[169],"used":[170],"datasets":[172],"demonstrate":[173],"efficacy":[175],"our":[177],"proposed":[178],"comparison":[182],"with":[183],"state-of-the-art":[185],"solutions":[188],"verification.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}