{"id":"https://openalex.org/W3024437012","doi":"https://doi.org/10.1109/lsp.2020.2994815","title":"AsNet: Asymmetrical Network for Learning Rich Features in Person Re-Identification","display_name":"AsNet: Asymmetrical Network for Learning Rich Features in Person Re-Identification","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3024437012","doi":"https://doi.org/10.1109/lsp.2020.2994815","mag":"3024437012"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.2994815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2994815","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5072562533","display_name":"Suofei Zhang","orcid":"https://orcid.org/0000-0003-4116-7555"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Suofei Zhang","raw_affiliation_strings":["School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052332549","display_name":"Wenlong Wang","orcid":"https://orcid.org/0000-0001-5980-3236"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Wang","raw_affiliation_strings":["National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029552346","display_name":"Xiaofu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofu Wu","raw_affiliation_strings":["National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072562533"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":2.7472,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91991356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"850","last_page":"854"},"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":0.9943000078201294,"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":0.9941999912261963,"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":0.8784403800964355},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7763304710388184},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7722397446632385},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7174115180969238},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6287589073181152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5927982926368713},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5855640769004822},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5727717876434326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5186330676078796},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49997830390930176},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.486683189868927},{"id":"https://openalex.org/keywords/performance-improvement","display_name":"Performance improvement","score":0.4681280851364136},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4230448007583618},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4220074713230133},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08545923233032227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8784403800964355},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7763304710388184},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7722397446632385},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7174115180969238},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6287589073181152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5927982926368713},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5855640769004822},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5727717876434326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5186330676078796},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49997830390930176},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.486683189868927},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.4681280851364136},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4230448007583618},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4220074713230133},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08545923233032227},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.2994815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2994815","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G7234898541","display_name":null,"funder_award_id":"61701252","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1982925187","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2511791013","https://openalex.org/W2531440880","https://openalex.org/W2584637367","https://openalex.org/W2598634450","https://openalex.org/W2604211872","https://openalex.org/W2896888563","https://openalex.org/W2940865854","https://openalex.org/W2954765307","https://openalex.org/W2963403868","https://openalex.org/W2963842104","https://openalex.org/W2967515867","https://openalex.org/W2971802465","https://openalex.org/W2979931389","https://openalex.org/W2981420411","https://openalex.org/W2984040540","https://openalex.org/W2987151592","https://openalex.org/W2990827756","https://openalex.org/W3034552520","https://openalex.org/W4385245566","https://openalex.org/W6728374919","https://openalex.org/W6735531217","https://openalex.org/W6739901393","https://openalex.org/W6760507847","https://openalex.org/W6768952390"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Learning":[0],"part-based":[1],"features":[2],"with":[3,101,123],"multiple":[4],"branches":[5,27],"has":[6],"been":[7],"proven":[8],"as":[9,65,67,131,141],"an":[10,72],"effective":[11],"way":[12],"to":[13,28,38],"deliver":[14],"high":[15,85],"performance":[16,86,100],"person":[17],"re-identification.":[18],"Existing":[19],"works":[20],"mostly":[21],"exploit":[22],"extra":[23,90],"constraints":[24],"on":[25,126],"different":[26],"ensure":[29],"the":[30,39,46,99,113,149],"diversity":[31],"of":[32,61,94,105],"extracted":[33],"features,":[34],"which":[35],"may":[36],"lead":[37],"increased":[40],"complexity":[41],"in":[42,71],"network":[43],"architecture":[44,81],"and":[45,148],"difficulty":[47],"for":[48,145],"training.":[49],"In":[50],"this":[51],"letter,":[52],"we":[53,96],"propose":[54],"a":[55,62,68,102,142],"quite":[56],"simple":[57,80],"multi-branch":[58],"structure":[59],"consisting":[60],"global":[63],"branch":[64,70],"well":[66],"part":[69],"asymmetrical":[73],"way.":[74],"We":[75,135],"empirically":[76],"demonstrate":[77],"that":[78,112,137],"such":[79,130],"can":[82,139],"provide":[83],"surprisingly":[84],"without":[87],"imposing":[88],"any":[89],"constraint.":[91],"On":[92],"top":[93],"this,":[95],"further":[97],"prompt":[98],"lightweight":[103],"implementation":[104],"attention":[106],"module.":[107],"Extensive":[108],"experimental":[109],"results":[110],"prove":[111],"proposed":[114],"method,":[115],"termed":[116],"Asymmetrical":[117],"Network":[118],"(AsNet),":[119],"outperforms":[120],"state-of-the-art":[121],"methods":[122],"obvious":[124],"margin":[125],"standard":[127],"benchmark":[128],"datasets":[129],"Market1501,":[132],"DukeMTMC,":[133],"CUHK03.":[134],"believe":[136],"AsNet":[138],"serve":[140],"strong":[143],"baseline":[144],"related":[146],"research":[147],"source":[150],"code":[151],"is":[152],"publicly":[153],"available":[154],"at":[155],"https://github.com/www0wwwjs1/asnet.git.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}