{"id":"https://openalex.org/W2980337913","doi":"https://doi.org/10.1109/tcsvt.2019.2948267","title":"Deeply Associative Two-Stage Representations Learning Based on Labels Interval Extension Loss and Group Loss for Person Re-Identification","display_name":"Deeply Associative Two-Stage Representations Learning Based on Labels Interval Extension Loss and Group Loss for Person Re-Identification","publication_year":2019,"publication_date":"2019-10-18","ids":{"openalex":"https://openalex.org/W2980337913","doi":"https://doi.org/10.1109/tcsvt.2019.2948267","mag":"2980337913"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2948267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2948267","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5088164921","display_name":"Yewen Huang","orcid":"https://orcid.org/0000-0003-0463-4791"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yewen Huang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741266","display_name":"Yi Huang","orcid":"https://orcid.org/0000-0002-8443-6877"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Huang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056953478","display_name":"Haifeng Hu","orcid":"https://orcid.org/0000-0002-4884-323X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Hu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071453879","display_name":"Dihu Chen","orcid":"https://orcid.org/0000-0001-5432-8149"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dihu Chen","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001383559","display_name":"Tao Su","orcid":"https://orcid.org/0000-0001-5227-1337"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Su","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088164921"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.3284,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.84860986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"30","issue":"12","first_page":"4526","last_page":"4539"},"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":0.9965999722480774,"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":0.994700014591217,"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/subnetwork","display_name":"Subnetwork","score":0.7414135336875916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7361741065979004},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7359610795974731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.567973792552948},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5571721792221069},{"id":"https://openalex.org/keywords/transpose","display_name":"Transpose","score":0.5426864624023438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4943046569824219},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.464994341135025},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4138375222682953}],"concepts":[{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.7414135336875916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361741065979004},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7359610795974731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.567973792552948},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5571721792221069},{"id":"https://openalex.org/C200106649","wikidata":"https://www.wikidata.org/wiki/Q223683","display_name":"Transpose","level":3,"score":0.5426864624023438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4943046569824219},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.464994341135025},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4138375222682953},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2019.2948267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2948267","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4228998522","display_name":null,"funder_award_id":"2017A030311029","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5355820501","display_name":null,"funder_award_id":"60802069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5445921258","display_name":null,"funder_award_id":"2016B010109002","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5678804896","display_name":null,"funder_award_id":"61673402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G709867051","display_name":null,"funder_award_id":"61273270","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7613831072","display_name":null,"funder_award_id":"2019B010140002","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1514535095","https://openalex.org/W1686810756","https://openalex.org/W1915485278","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W2054831469","https://openalex.org/W2062677035","https://openalex.org/W2097117768","https://openalex.org/W2135442311","https://openalex.org/W2138621090","https://openalex.org/W2144172034","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2259687230","https://openalex.org/W2300840837","https://openalex.org/W2307770531","https://openalex.org/W2382036597","https://openalex.org/W2432402544","https://openalex.org/W2467139031","https://openalex.org/W2471048925","https://openalex.org/W2491664569","https://openalex.org/W2502225121","https://openalex.org/W2520774990","https://openalex.org/W2531440880","https://openalex.org/W2559085405","https://openalex.org/W2583528645","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2604211872","https://openalex.org/W2604463754","https://openalex.org/W2724213014","https://openalex.org/W2731757110","https://openalex.org/W2736410039","https://openalex.org/W2738406610","https://openalex.org/W2747685395","https://openalex.org/W2755066373","https://openalex.org/W2765860780","https://openalex.org/W2768610172","https://openalex.org/W2769346661","https://openalex.org/W2792998389","https://openalex.org/W2798117183","https://openalex.org/W2798794112","https://openalex.org/W2811014381","https://openalex.org/W2876459260","https://openalex.org/W2896888563","https://openalex.org/W2962691289","https://openalex.org/W2962706983","https://openalex.org/W2962835968","https://openalex.org/W2962926870","https://openalex.org/W2963047834","https://openalex.org/W2963150697","https://openalex.org/W2963216120","https://openalex.org/W2963365374","https://openalex.org/W2963383990","https://openalex.org/W2963438548","https://openalex.org/W2963446712","https://openalex.org/W2963468606","https://openalex.org/W2963690547","https://openalex.org/W2963805953","https://openalex.org/W2963842104","https://openalex.org/W2964130064","https://openalex.org/W2964163358","https://openalex.org/W2964193438","https://openalex.org/W2964289004","https://openalex.org/W2964304299","https://openalex.org/W2998508940","https://openalex.org/W3100555577","https://openalex.org/W4298190105","https://openalex.org/W6618372016","https://openalex.org/W6630875275","https://openalex.org/W6637373629","https://openalex.org/W6681239517","https://openalex.org/W6683590716","https://openalex.org/W6692470526","https://openalex.org/W6697925102","https://openalex.org/W6724544503","https://openalex.org/W6726946684","https://openalex.org/W6728374919","https://openalex.org/W6730277886","https://openalex.org/W6733567194","https://openalex.org/W6735531217","https://openalex.org/W6736696968","https://openalex.org/W6739963815","https://openalex.org/W6740745780","https://openalex.org/W6743440100","https://openalex.org/W6746255304","https://openalex.org/W6747428963"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W2377184161","https://openalex.org/W228984114","https://openalex.org/W2090026684","https://openalex.org/W4320039951","https://openalex.org/W2337802099","https://openalex.org/W1972438963"],"abstract_inverted_index":{"Person":[0],"Re-identification":[1],"(ReID)":[2],"aims":[3],"to":[4,24,155,230,257,285],"match":[5,25],"people":[6],"across":[7],"non-overlapping":[8],"camera":[9],"views":[10],"in":[11,31,79,130,215,278],"a":[12,84,136,210],"public":[13],"space,":[14],"which":[15,216],"is":[16,35,164,283],"usually":[17],"regarded":[18],"as":[19,42,135,237,239],"an":[20],"image":[21,244],"retrieval":[22],"problem":[23],"query":[26],"images":[27,30],"with":[28,246],"pedestrian":[29],"the":[32,96,110,114,120,131,149,152,157,169,173,182,190,195,232,241,251],"gallery.":[33],"It":[34,94],"challenging":[36],"since":[37],"many":[38],"difficulties":[39],"exist":[40],"such":[41],"pose":[43],"misalignments,":[44],"occlusions,":[45],"similar":[46],"appearance":[47],"when":[48],"detecting":[49],"people.":[50],"Existing":[51],"researches":[52],"on":[53,57,119,194,264],"ReID":[54,258],"mainly":[55],"focus":[56],"two":[58,77,105],"major":[59],"problems:":[60],"representation":[61],"learning":[62,72],"and":[63,75,100,189,200,224,255,270,282],"metric":[64],"learning.":[65],"In":[66],"this":[67,177],"paper,":[68],"we":[69,117,141,179],"target":[70],"at":[71,109,186],"discriminative":[73],"representations":[74,184,192],"make":[76],"contributions":[78],"total.":[80],"(i)":[81],"We":[82,208,249],"propose":[83],"novel":[85],"architecture":[86],"named":[87],"Deeply":[88],"Associative":[89],"Two-stage":[90],"Representations":[91],"Learning":[92],"(DATRL).":[93],"contains":[95],"global":[97,115,183],"re-initialization":[98,138,159],"stage":[99,103,163],"fully-perceptual":[101,162],"classification":[102],"employing":[104],"identical":[106],"CNNs":[107],"associatively":[108],"same":[111],"time.":[112],"On":[113,176],"stage,":[116,178],"take":[118,180],"backbone":[121,150],"of":[122,128,133,151,168,172,234],"one":[123],"deep":[124],"CNN":[125,154],"e.g.,":[126],"dozens":[127],"layers":[129,171],"front":[132],"Resnet-50":[134],"normal":[137],"subnetwork.":[139,160],"Meanwhile,":[140],"apply":[142,250],"our":[143,217],"own":[144],"proposed":[145,218],"3D-transpose":[146,158],"technique":[147],"into":[148,198],"other":[153],"form":[156],"The":[161],"actually":[165],"made":[166],"up":[167],"leftover":[170],"original":[174],"CNNs.":[175],"both":[181],"learned":[185],"multiple":[187],"hierarchies":[188],"local":[191],"uniformly-partitioned":[193],"highest":[196],"conv-layer":[197],"consideration,":[199],"then":[201],"optimizing":[202],"them":[203],"separately":[204],"for":[205],"classification.":[206],"(ii)":[207],"introduce":[209],"new":[211],"joint":[212],"loss":[213,222,226],"function":[214],"Labels":[219],"Interval":[220],"Extension":[221],"(LIEL)":[223],"Group":[225],"(GL)":[227],"are":[228],"combined":[229],"enhance":[231],"performance":[233,277],"gradient":[235],"decent":[236],"well":[238],"increasing":[240],"distances":[242],"between":[243],"features":[245],"different":[247],"identities.":[248],"above":[252],"DATRL,":[253],"LIEL":[254],"GL":[256],"thus":[259],"obtaining":[260],"DATRL-ReID.":[261],"Experimental":[262],"results":[263],"four":[265],"datasets":[266],"CUHK03,":[267],"Market-1501,":[268],"DukeMTMC-reID":[269],"MSMT17-V2":[271],"demonstrate":[272],"that":[273],"DATRL-ReID":[274],"shows":[275],"excellent":[276],"improving":[279],"recognition":[280],"accuracy":[281],"superior":[284],"state-of-the-art":[286],"methods.":[287]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
