{"id":"https://openalex.org/W4402703726","doi":"https://doi.org/10.1109/access.2024.3461739","title":"Key Factors Determining the Required Number of Training Images in Person Re-Identification","display_name":"Key Factors Determining the Required Number of Training Images in Person Re-Identification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402703726","doi":"https://doi.org/10.1109/access.2024.3461739"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3461739","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3461739","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":"https://doi.org/10.1109/access.2024.3461739","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103351740","display_name":"Taku Sasaki","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taku Sasaki","raw_affiliation_strings":["NTT Laboratories, Tokyo, Japan","NTT Labs, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0008-7946-9851","affiliations":[{"raw_affiliation_string":"NTT Laboratories, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Labs, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109786251","display_name":"Adam S. Walmsley","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Adam S. Walmsley","raw_affiliation_strings":["Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, Canada","University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076855020","display_name":"Kazuki Adachi","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Adachi","raw_affiliation_strings":["NTT Laboratories, Tokyo, Japan","NTT Labs, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0003-3131-8732","affiliations":[{"raw_affiliation_string":"NTT Laboratories, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Labs, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036430329","display_name":"Shohei Enomoto","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shohei Enomoto","raw_affiliation_strings":["NTT Laboratories, Tokyo, Japan","NTT Labs, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Laboratories, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Labs, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081715626","display_name":"Shin\u2019ya Yamaguchi","orcid":"https://orcid.org/0000-0001-9113-7405"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin\u2019Ya Yamaguchi","raw_affiliation_strings":["NTT Laboratories, Tokyo, Japan","NTT Labs, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Laboratories, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Labs, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.2044,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48144318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"135135","last_page":"135147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.960099995136261,"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":0.960099995136261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7094460725784302},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6696115136146545},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.655526876449585},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5700230598449707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46890532970428467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33305269479751587},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3243574798107147},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2075539529323578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7094460725784302},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6696115136146545},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.655526876449585},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5700230598449707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46890532970428467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33305269479751587},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3243574798107147},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2075539529323578},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3461739","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3461739","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:1cb779be046c4673a5893ac32e523e29","is_oa":true,"landing_page_url":"https://doaj.org/article/1cb779be046c4673a5893ac32e523e29","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 135135-135147 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3461739","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3461739","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1928419358","https://openalex.org/W2056760244","https://openalex.org/W2108598243","https://openalex.org/W2131255818","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2512434173","https://openalex.org/W2519904008","https://openalex.org/W2756012011","https://openalex.org/W2799251491","https://openalex.org/W2904427185","https://openalex.org/W2953684117","https://openalex.org/W2963047834","https://openalex.org/W2963330186","https://openalex.org/W2982041213","https://openalex.org/W2990761674","https://openalex.org/W3034607353","https://openalex.org/W3034903425","https://openalex.org/W3093047836","https://openalex.org/W3093078906","https://openalex.org/W3107087058","https://openalex.org/W3169884992","https://openalex.org/W3180332766","https://openalex.org/W3202312310","https://openalex.org/W3203532213","https://openalex.org/W4214736485","https://openalex.org/W4292828957","https://openalex.org/W4312816653","https://openalex.org/W4313171465","https://openalex.org/W4386066340","https://openalex.org/W4386075679","https://openalex.org/W4387376787","https://openalex.org/W6746932923","https://openalex.org/W6755095635","https://openalex.org/W6767977755","https://openalex.org/W6771395016","https://openalex.org/W6772383348","https://openalex.org/W6783941598","https://openalex.org/W6790077367","https://openalex.org/W6790811286","https://openalex.org/W6810947955","https://openalex.org/W6845458055"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952","https://openalex.org/W4366179611","https://openalex.org/W2982428536"],"abstract_inverted_index":{"Focusing":[0],"on":[1],"person":[2,97],"re-identification":[3,98],"datasets,":[4],"this":[5,89],"paper":[6,90],"proposes":[7],"a":[8,23,48,55,66,79,96],"new":[9],"method":[10,111,116,133],"to":[11,29,51],"estimate":[12],"the":[13,18,44,60,71,74,92,102,107,115,138],"test":[14],"accuracy":[15],"curve":[16,45],"over":[17],"training":[19,56],"image":[20,57],"number":[21,58],"in":[22],"precise,":[24],"interpretable,":[25],"and":[26,32,59],"efficient":[27],"manner":[28],"receive":[30],"financial":[31],"privacy":[33],"protection":[34],"benefits.":[35],"An":[36],"existing":[37],"method,":[38],"neural":[39,140],"scaling":[40,141],"law,":[41],"accurately":[42],"approximates":[43],"by":[46],"fitting":[47,64],"regression":[49,103],"function":[50,67],"data":[52,80],"points":[53],"of":[54,95,146],"corresponding":[61],"accuracy.":[62],"However,":[63],"such":[65],"does":[68],"not":[69],"explain":[70],"reason":[72],"for":[73],"estimated":[75],"curve.":[76],"Moreover,":[77],"obtaining":[78],"point":[81],"updates":[82,123],"model":[83,122,147],"parameters":[84],"with":[85],"heavy":[86],"computation.":[87],"Therefore,":[88],"investigates":[91],"key":[93],"factors":[94],"dataset":[99],"that":[100,131],"determine":[101],"parameters.":[104],"By":[105],"incorporating":[106],"found":[108],"factors,":[109],"our":[110,132],"becomes":[112],"interpretable.":[113],"Simultaneously,":[114],"significantly":[117],"reduces":[118],"computation":[119],"costs":[120],"since":[121],"are":[124],"no":[125],"longer":[126],"needed.":[127],"We":[128],"experimentally":[129],"show":[130],"is":[134],"as":[135,137],"precise":[136],"uninterpretable":[139],"law":[142],"incurring":[143],"nearly":[144],"millions":[145],"updates.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}