{"id":"https://openalex.org/W4411245133","doi":"https://doi.org/10.5244/c.35.229","title":"Decentralised Person Re-Identification with Selective Knowledge Aggregation","display_name":"Decentralised Person Re-Identification with Selective Knowledge Aggregation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4411245133","doi":"https://doi.org/10.5244/c.35.229"},"language":"en","primary_location":{"id":"doi:10.5244/c.35.229","doi":"https://doi.org/10.5244/c.35.229","is_oa":false,"landing_page_url":"https://doi.org/10.5244/c.35.229","pdf_url":null,"source":{"id":"https://openalex.org/S7407088578","display_name":"British Machine Vision Conference (BMVC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the British Machine Vision Conference 2021","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2110.11384","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077534756","display_name":"Shitong Sun","orcid":"https://orcid.org/0000-0003-1825-655X","observed_orcids":["https://orcid.org/0000-0003-1825-655X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shitong Sun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082901351","display_name":"Guile Wu","orcid":"https://orcid.org/0000-0001-7319-473X","observed_orcids":["https://orcid.org/0000-0001-7319-473X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guile Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5039302902","display_name":"Shaogang Gong","orcid":"https://orcid.org/0000-0001-8156-2299","observed_orcids":["https://orcid.org/0000-0001-8156-2299"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaogang Gong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.465,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.73235722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9063000082969666,"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":0.9063000082969666,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.052000001072883606,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.015699999406933784,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/person-re-identification","display_name":"person re-identification","score":0.9929999709129333},{"id":"https://openalex.org/keywords/federated-learning","display_name":"federated learning","score":0.968999981880188},{"id":"https://openalex.org/keywords/domain-heterogeneity","display_name":"domain heterogeneity","score":0.6620000004768372},{"id":"https://openalex.org/keywords/cross-domain-generalisation","display_name":"cross-domain generalisation","score":0.6570000052452087},{"id":"https://openalex.org/keywords/privacy-preserving-machine-learning","display_name":"privacy-preserving machine learning","score":0.765999972820282}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7455959320068359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129021644592285},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.5244/c.35.229","doi":"https://doi.org/10.5244/c.35.229","is_oa":false,"landing_page_url":"https://doi.org/10.5244/c.35.229","pdf_url":null,"source":{"id":"https://openalex.org/S7407088578","display_name":"British Machine Vision Conference (BMVC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the British Machine Vision Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2110.11384","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.11384","pdf_url":"https://arxiv.org/pdf/2110.11384","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/103910","doi":null,"is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/103910","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceeding"},{"id":"doi:10.48550/arxiv.2110.11384","doi":"https://doi.org/10.48550/arxiv.2110.11384","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2110.11384","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2110.11384","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.11384","pdf_url":"https://arxiv.org/pdf/2110.11384","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411245133.pdf","grobid_xml":"https://content.openalex.org/works/W4411245133.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1518138188","https://openalex.org/W1596233070","https://openalex.org/W1836465849","https://openalex.org/W1982925187","https://openalex.org/W2043409787","https://openalex.org/W2108598243","https://openalex.org/W2139763424","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2541884796","https://openalex.org/W2585635281","https://openalex.org/W2884585870","https://openalex.org/W2914328083","https://openalex.org/W2947319827","https://openalex.org/W2949813473","https://openalex.org/W2963047834","https://openalex.org/W2963420686","https://openalex.org/W2963910742","https://openalex.org/W2966099145","https://openalex.org/W2986413680","https://openalex.org/W2996736801","https://openalex.org/W2996974038","https://openalex.org/W2997917485","https://openalex.org/W2998792609","https://openalex.org/W3006555759","https://openalex.org/W3022269628","https://openalex.org/W3033112120","https://openalex.org/W3034727830","https://openalex.org/W3035453001","https://openalex.org/W3039612675","https://openalex.org/W3100393648","https://openalex.org/W3104920644","https://openalex.org/W3109831211","https://openalex.org/W3124293845","https://openalex.org/W3133814152","https://openalex.org/W3166601111","https://openalex.org/W3182158470","https://openalex.org/W3194243671","https://openalex.org/W4288267775"],"related_works":["https://openalex.org/W3033112120","https://openalex.org/W4387968397","https://openalex.org/W4221148877","https://openalex.org/W4411178115","https://openalex.org/W7138474924","https://openalex.org/W4319978740","https://openalex.org/W7138161003","https://openalex.org/W7164839370","https://openalex.org/W7123347046","https://openalex.org/W4224224340"],"abstract_inverted_index":{"Existing":[0],"person":[1,130,247],"re-identification":[2],"(Re-ID)":[3],"methods":[4,75],"mostly":[5],"follow":[6],"a":[7,17,53,102,122,151,197,232],"centralised":[8],"learning":[9,50],"paradigm":[10,23],"which":[11,166,211],"shares":[12],"all":[13],"training":[14,63],"data":[15,27,64,67,107],"to":[16,35,61,80,85,101,128,132,157,163,180,202,215,230,255],"collection":[18],"for":[19,51,219,236],"model":[20,56,84,137,154,172,182,218,235],"learning.":[21,177],"This":[22,178,222],"is":[24],"limited":[25],"when":[26],"from":[28,169],"different":[29,69,96],"sources":[30],"cannot":[31],"be":[32],"shared":[33,66],"due":[34,100],"privacy":[36],"concerns.":[37],"To":[38],"resolve":[39],"this":[40,113,118],"problem,":[41],"two":[42],"recent":[43],"works":[44],"have":[45],"introduced":[46],"decentralised":[47,129,256,262],"(federated)":[48],"Re-ID":[49,93,97,131,176,248,257],"constructing":[52],"globally":[54],"generalised":[55,83,204,234],"(server)without":[57],"any":[58],"direct":[59],"access":[60],"local":[62,159,187,199,209],"nor":[65],"across":[68,109],"source":[70],"domains":[71],"(clients).":[72],"However,":[73],"these":[74],"are":[76,167,212],"poor":[77,114],"on":[78,89,185,227,239,245],"how":[79],"adapt":[81],"the":[82,134,147,170,216,228,252,260],"maximise":[86],"its":[87],"performance":[88],"individual":[90],"client":[91,188],"domain":[92,189],"tasks":[94],"having":[95],"label":[98],"spaces,":[99],"lack":[103],"of":[104,106],"understanding":[105],"heterogeneity":[108],"domains.":[110,242],"We":[111],"call":[112],"'model":[115],"personalisation'.":[116],"In":[117],"work,":[119],"we":[120,142,195],"present":[121],"new":[123],"Selective":[124],"Knowledge":[125],"Aggregation":[126],"approach":[127,254],"optimise":[133],"trade-off":[135],"between":[136],"personalisation":[138,183],"and":[139,155,190],"generalisation.":[140],"Specifically,":[141],"incorporate":[143],"attentive":[144],"normalisation":[145,148,160,200,205],"into":[146],"layers":[149,161,206],"in":[150,174,207],"deep":[152],"ReID":[153],"propose":[156],"learn":[158,191,203],"specific":[162],"each":[164,186,208],"domain,":[165],"decoupled":[168],"global":[171,217,233],"aggregation":[173,226],"federated":[175],"helps":[179],"preserve":[181],"knowledge":[184,225],"instance-specific":[192],"information.":[193],"Further,":[194],"introduce":[196],"dual":[198],"mechanism":[201],"model,":[210],"then":[213],"transmitted":[214],"central":[220],"aggregation.":[221],"facilitates":[223],"selective":[224],"server":[229],"construct":[231],"out-of-the-box":[237],"deployment":[238],"unseen":[240],"novel":[241],"Extensive":[243],"experiments":[244],"eight":[246],"datasets":[249],"show":[250],"that":[251],"proposed":[253],"significantly":[258],"outperforms":[259],"state-of-the-art":[261],"methods.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2025-10-10T00:00:00"}
