{"id":"https://openalex.org/W3036606560","doi":"https://doi.org/10.1109/tcds.2020.3003674","title":"Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask","display_name":"Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask","publication_year":2020,"publication_date":"2020-06-19","ids":{"openalex":"https://openalex.org/W3036606560","doi":"https://doi.org/10.1109/tcds.2020.3003674","mag":"3036606560"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2020.3003674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2020.3003674","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cognitive and Developmental Systems","raw_type":"journal-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/A5021934263","display_name":"Yong Wu","orcid":"https://orcid.org/0000-0001-5628-1858"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Wu","raw_affiliation_strings":["Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732270","display_name":"Kun Zhang","orcid":"https://orcid.org/0000-0002-6385-4607"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhang","raw_affiliation_strings":["Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087166824","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-6818-1886"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407102","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0003-1288-2621"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007724310","display_name":"Changan Yuan","orcid":"https://orcid.org/0000-0001-6912-718X"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-An Yuan","raw_affiliation_strings":["School of Computer and Information Engineering, Nanning Normal University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Nanning Normal University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102706738","display_name":"Xiao Qin","orcid":"https://orcid.org/0000-0003-3237-7083"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Qin","raw_affiliation_strings":["School of Computer and Information Engineering, Nanning Normal University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Nanning Normal University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026164183","display_name":"Tao Zhu","orcid":"https://orcid.org/0000-0002-5879-5980"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Zhu","raw_affiliation_strings":["Department of Strategic Planning, Beijing E-Hualu Info Technology Company Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Strategic Planning, Beijing E-Hualu Info Technology Company Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004514343","display_name":"Yuchuan Du","orcid":"https://orcid.org/0000-0002-8497-3402"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Chuan Du","raw_affiliation_strings":["School of Transportation Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058982350","display_name":"Hanli Wang","orcid":"https://orcid.org/0000-0002-9999-4871"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han-Li Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060381913","display_name":"De-Shuang Huang","orcid":"https://orcid.org/0000-0002-6759-2691"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Shuang Huang","raw_affiliation_strings":["Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5021934263"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":4.7872,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.96098004,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"13","issue":"4","first_page":"865","last_page":"874"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9958999752998352,"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":0.9904000163078308,"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/computer-science","display_name":"Computer science","score":0.8342728614807129},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.7541848421096802},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7424330115318298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6682367324829102},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6449810266494751},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6007751822471619},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4984445571899414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48952803015708923},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46218833327293396},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4370783567428589}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8342728614807129},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.7541848421096802},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7424330115318298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6682367324829102},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6449810266494751},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6007751822471619},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4984445571899414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48952803015708923},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46218833327293396},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4370783567428589},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2020.3003674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2020.3003674","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G1083522900","display_name":null,"funder_award_id":"61702371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1596993240","display_name":null,"funder_award_id":"61772370","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3263865980","display_name":null,"funder_award_id":"61520106006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G344637341","display_name":null,"funder_award_id":"61772357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G710220644","display_name":null,"funder_award_id":"61672382","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7352770851","display_name":null,"funder_award_id":"2017M611619","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G74711194","display_name":null,"funder_award_id":"61732012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8031058355","display_name":null,"funder_award_id":"61861146002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8417010444","display_name":null,"funder_award_id":"61672203","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W2014764728","https://openalex.org/W2079972027","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2526833393","https://openalex.org/W2585635281","https://openalex.org/W2752782242","https://openalex.org/W2768610172","https://openalex.org/W2795758732","https://openalex.org/W2798458055","https://openalex.org/W2798794112","https://openalex.org/W2798874329","https://openalex.org/W2799047769","https://openalex.org/W2883638665","https://openalex.org/W2884585870","https://openalex.org/W2890159224","https://openalex.org/W2896888563","https://openalex.org/W2913231171","https://openalex.org/W2921310091","https://openalex.org/W2922509574","https://openalex.org/W2928165649","https://openalex.org/W2952634764","https://openalex.org/W2954765307","https://openalex.org/W2960065339","https://openalex.org/W2962691289","https://openalex.org/W2962706983","https://openalex.org/W2962926870","https://openalex.org/W2963046907","https://openalex.org/W2963049565","https://openalex.org/W2963322158","https://openalex.org/W2963446712","https://openalex.org/W2963805953","https://openalex.org/W2963842104","https://openalex.org/W2963896386","https://openalex.org/W2963910742","https://openalex.org/W2964044605","https://openalex.org/W2964140013","https://openalex.org/W2964186374","https://openalex.org/W2967359135","https://openalex.org/W2979938149","https://openalex.org/W2980073905","https://openalex.org/W2981420411","https://openalex.org/W2984040540","https://openalex.org/W2984145721","https://openalex.org/W2986093954","https://openalex.org/W2988964414","https://openalex.org/W2990827756","https://openalex.org/W2997738728","https://openalex.org/W3000133216","https://openalex.org/W3098711604","https://openalex.org/W3100506510","https://openalex.org/W3105077954","https://openalex.org/W4297810817","https://openalex.org/W6637373629","https://openalex.org/W6753038380","https://openalex.org/W6753412334","https://openalex.org/W6754484989","https://openalex.org/W6754663736"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Person":[0],"reidentification":[1],"(PReID)":[2],"has":[3],"received":[4],"increasing":[5],"attention":[6,77,149],"due":[7],"to":[8,51,124,214],"its":[9],"significant":[10],"importance":[11],"in":[12,106,132,173,179],"intelligent":[13],"video":[14],"surveillance.":[15],"However,":[16],"most":[17],"existing":[18],"multiscale":[19,25,91],"feature":[20,26,53,92,99,112,155,165],"learning":[21,94,131],"methods":[22,169],"embed":[23],"the":[24,33,36,41,46,57,76,111,126,133,139,162,174,180,185,188,193,196,216,219],"extraction":[27,61],"modules":[28],"for":[29,79,104],"PReID,":[30],"which":[31,159],"increases":[32],"complexity":[34],"of":[35,141,187,211,218],"inference":[37],"network":[38],"and":[39,48,62,96,115,128,177,204],"reduces":[40],"timeliness.":[42],"Moreover,":[43],"jointly":[44],"using":[45,148],"small-scale":[47,127],"large-scale":[49,129],"features":[50,60,70,130,144],"learn":[52,161],"representations":[54,113],"may":[55],"weaken":[56],"local":[58,69,142,164],"detailed":[59],"spatial":[63,116],"information":[64,117],"learning.":[65],"Besides,":[66,206],"some":[67],"attentive":[68,143,163],"are":[71,122,170],"often":[72],"suppressed":[73,146],"when":[74],"introducing":[75],"mechanisms":[78],"deep":[80,88],"PReID":[81,105],"models.":[82],"To":[83,109,137],"address":[84],"these":[85],"issues,":[86],"a":[87,209],"model":[89,191],"with":[90,153],"representation":[93],"(MFRL)":[95],"random":[97,154],"batch":[98],"mask":[100],"(RBFM)":[101],"is":[102],"proposed":[103,168,220],"this":[107],"study.":[108],"ensure":[110],"discriminability":[114],"learning,":[118],"two":[119],"identity":[120],"losses":[121],"adopted":[123],"supervise":[125],"MFRL":[134],"module,":[135],"respectively.":[136],"alleviate":[138],"situation":[140],"being":[145],"by":[147],"mechanisms,":[150],"RBFM":[151],"branch":[152],"block":[156],"dropping":[157],"strategy":[158],"can":[160],"representations.":[166],"The":[167],"only":[171],"performed":[172],"training":[175],"phase":[176],"discarded":[178],"testing":[181],"phase,":[182],"thus,":[183],"enhancing":[184],"effectiveness":[186,217],"model.":[189],"Our":[190],"achieves":[192],"state-of-the-art":[194],"on":[195],"popular":[197],"benchmark":[198],"data":[199],"sets,":[200],"including":[201],"Market-1501,":[202],"DukeMTMC-reID,":[203],"CUHK03.":[205],"we":[207],"conduct":[208],"set":[210],"ablation":[212],"experiments":[213],"verify":[215],"methods.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}