{"id":"https://openalex.org/W4385446590","doi":"https://doi.org/10.3390/e25081154","title":"Person Re-Identification Method Based on Dual Descriptor Feature Enhancement","display_name":"Person Re-Identification Method Based on Dual Descriptor Feature Enhancement","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385446590","doi":"https://doi.org/10.3390/e25081154","pmid":"https://pubmed.ncbi.nlm.nih.gov/37628184"},"language":"en","primary_location":{"id":"doi:10.3390/e25081154","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e25081154","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1154/pdf?version=1690892914","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/8/1154/pdf?version=1690892914","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090756918","display_name":"Ronghui Lin","orcid":"https://orcid.org/0000-0001-7951-7253"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghui Lin","raw_affiliation_strings":["School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]},{"raw_affiliation_string":"School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030351224","display_name":"Rong Wang","orcid":"https://orcid.org/0000-0001-9240-6726"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]},{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rong Wang","raw_affiliation_strings":["Key Laboratory of Security Prevention Technology and Risk Assessment of Ministry of Public Security, Beijing 100038, China","School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Security Prevention Technology and Risk Assessment of Ministry of Public Security, Beijing 100038, China","institution_ids":["https://openalex.org/I1302611135"]},{"raw_affiliation_string":"School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]},{"raw_affiliation_string":"School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407198","display_name":"Wenjing Zhang","orcid":"https://orcid.org/0000-0002-3066-7186"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Zhang","raw_affiliation_strings":["School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]},{"raw_affiliation_string":"School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112107846","display_name":"Ao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Wu","raw_affiliation_strings":["School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]},{"raw_affiliation_string":"School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612596","display_name":"Yang Sun","orcid":"https://orcid.org/0000-0003-3549-2140"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Sun","raw_affiliation_strings":["School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]},{"raw_affiliation_string":"School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109627200","display_name":"Yihan Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihan Bi","raw_affiliation_strings":["School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Cyber Security, People\u2019s Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]},{"raw_affiliation_string":"School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China","institution_ids":["https://openalex.org/I37448385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5030351224"],"corresponding_institution_ids":["https://openalex.org/I1302611135","https://openalex.org/I37448385"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.2369,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51158724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"25","issue":"8","first_page":"1154","last_page":"1154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T11448","display_name":"Face recognition and analysis","score":0.9983000159263611,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9955999851226807,"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":0.7835043668746948},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.731486976146698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6731159090995789},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6165388822555542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6032869815826416},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5871704816818237},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.5270251035690308},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4897480010986328},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.44190889596939087},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4368036389350891},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4155803620815277},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41014382243156433},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3793117105960846},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3748242259025574},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3742295503616333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09890568256378174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7835043668746948},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.731486976146698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6731159090995789},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6165388822555542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6032869815826416},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5871704816818237},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.5270251035690308},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4897480010986328},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.44190889596939087},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4368036389350891},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4155803620815277},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41014382243156433},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3793117105960846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3748242259025574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3742295503616333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09890568256378174},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e25081154","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e25081154","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1154/pdf?version=1690892914","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:37628184","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37628184","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10453489","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10453489","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10453489/pdf/entropy-25-01154.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:396627197c3b447b8dd422086fa3dcab","is_oa":true,"landing_page_url":"https://doaj.org/article/396627197c3b447b8dd422086fa3dcab","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":"Entropy, Vol 25, Iss 8, p 1154 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/25/8/1154/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e25081154","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 25; Issue 8; Pages: 1154","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e25081154","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e25081154","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1154/pdf?version=1690892914","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G2441086882","display_name":null,"funder_award_id":"2023SYL08","funder_id":"https://openalex.org/F4320330924","funder_display_name":"People's Public Security University of China"}],"funders":[{"id":"https://openalex.org/F4320330924","display_name":"People's Public Security University of China","ror":"https://ror.org/05twya590"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385446590.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2767621619","https://openalex.org/W2962858109","https://openalex.org/W2962898354","https://openalex.org/W2962926870","https://openalex.org/W2963047834","https://openalex.org/W2963438548","https://openalex.org/W2963466847","https://openalex.org/W2963588253","https://openalex.org/W2963842104","https://openalex.org/W2963901085","https://openalex.org/W2969985801","https://openalex.org/W2998469040","https://openalex.org/W2998792609","https://openalex.org/W3035693354","https://openalex.org/W3087658752","https://openalex.org/W3125736290","https://openalex.org/W3150864706","https://openalex.org/W3158486449","https://openalex.org/W3159683145","https://openalex.org/W3173635859","https://openalex.org/W3173827247","https://openalex.org/W3181317745","https://openalex.org/W3195399086","https://openalex.org/W3205844080","https://openalex.org/W3205959870","https://openalex.org/W3208382980","https://openalex.org/W4214736485","https://openalex.org/W4225753952","https://openalex.org/W4229442942","https://openalex.org/W4285295127","https://openalex.org/W4288804646","https://openalex.org/W4312361652","https://openalex.org/W4312990104","https://openalex.org/W4382457808","https://openalex.org/W4382460786","https://openalex.org/W4386076164","https://openalex.org/W4386076493","https://openalex.org/W6840866624","https://openalex.org/W6846639931"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W2965546495","https://openalex.org/W1488708774","https://openalex.org/W3094954546","https://openalex.org/W2981906196","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W3106568383","https://openalex.org/W2123144113"],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"is":[2,116,122,136,155],"a":[3,23,33,46,89,95,111,188,204],"technology":[4],"used":[5],"to":[6,59,74,87,124,138,157],"identify":[7],"individuals":[8],"across":[9],"different":[10],"cameras.":[11],"Existing":[12],"methods":[13],"involve":[14],"extracting":[15],"features":[16,30],"from":[17,77],"an":[18,150,183,199],"input":[19],"image":[20],"and":[21,172,187,203,218],"using":[22],"single":[24],"feature":[25],"for":[26],"matching.":[27],"However,":[28],"these":[29],"often":[31],"provide":[32],"biased":[34],"description":[35],"of":[36,65,107,129,161,185,190,201,206,220],"the":[37,50,61,78,104,108,119,126,133,147,159,162,170,176,179,193,196,215,221],"person.":[38],"To":[39,101],"address":[40],"this":[41,43],"limitation,":[42],"paper":[44],"introduces":[45],"new":[47],"method":[48],"called":[49],"Dual":[51],"Descriptor":[52],"Feature":[53],"Enhancement":[54],"(DDFE)":[55],"network,":[56,110],"which":[57],"aims":[58],"emulate":[60],"multi-perspective":[62],"observation":[63],"abilities":[64],"humans.":[66],"The":[67],"DDFE":[68,109,180,222],"network":[69,181,197],"uses":[70],"two":[71],"independent":[72],"sub-networks":[73],"extract":[75],"descriptors":[76,83],"same":[79],"person":[80],"image.":[81],"These":[82,208],"are":[84,167],"subsequently":[85],"combined":[86],"create":[88],"comprehensive":[90],"multi-view":[91],"representation,":[92],"resulting":[93],"in":[94,98],"significant":[96,216],"improvement":[97],"recognition":[99,127],"performance.":[100],"further":[102],"enhance":[103,125,158],"discriminative":[105],"capability":[106],"carefully":[112],"designed":[113],"training":[114],"strategy":[115],"employed.":[117],"Firstly,":[118],"CurricularFace":[120],"loss":[121],"introduced":[123],"accuracy":[128],"each":[130],"sub-network.":[131],"Secondly,":[132],"DropPath":[134],"operation":[135],"incorporated":[137],"introduce":[139],"randomness":[140],"during":[141],"sub-network":[142],"training,":[143],"promoting":[144],"difference":[145],"between":[146],"descriptors.":[148],"Additionally,":[149],"Integration":[151],"Training":[152],"Module":[153],"(ITM)":[154],"devised":[156],"discriminability":[160],"integrated":[163],"features.":[164],"Extensive":[165],"experiments":[166],"conducted":[168],"on":[169,192],"Market1501":[171,177],"MSMT17":[173,194],"datasets.":[174],"On":[175],"dataset,":[178,195],"achieves":[182,198],"mAP":[184,200],"91.6%":[186],"Rank1":[189,205],"96.1%;":[191],"69.9%":[202],"87.5%.":[207],"outcomes":[209],"outperform":[210],"most":[211],"SOTA":[212],"methods,":[213],"highlighting":[214],"advancement":[217],"effectiveness":[219],"network.":[223]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
