{"id":"https://openalex.org/W4402979735","doi":"https://doi.org/10.1109/icme57554.2024.10688230","title":"Balanced Active Sampling for Person Re-identification","display_name":"Balanced Active Sampling for Person Re-identification","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979735","doi":"https://doi.org/10.1109/icme57554.2024.10688230"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688230","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5101281093","display_name":"Tao He","orcid":"https://orcid.org/0009-0006-1582-8072"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao He","raw_affiliation_strings":["South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002748588","display_name":"Leqi Shen","orcid":"https://orcid.org/0000-0002-7742-9142"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leqi Shen","raw_affiliation_strings":["Tsinghua University,School of Software,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Software,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105838441","display_name":"Guiguang Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiguang Ding","raw_affiliation_strings":["Tsinghua University,School of Software,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Software,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053841398","display_name":"Zhiheng Zhou","orcid":"https://orcid.org/0000-0003-4040-0175"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiheng Zhou","raw_affiliation_strings":["South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015784249","display_name":"Tianshi Xu","orcid":"https://orcid.org/0000-0003-3119-1957"},"institutions":[{"id":"https://openalex.org/I917184967","display_name":"Bank of China","ror":"https://ror.org/02mt4s337","country_code":"CN","type":"other","lineage":["https://openalex.org/I917184967"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianshi Xu","raw_affiliation_strings":["GRG Banking Equipment Co., Ltd,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"GRG Banking Equipment Co., Ltd,Guangzhou,China","institution_ids":["https://openalex.org/I917184967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102220396","display_name":"Xiaofeng Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I917184967","display_name":"Bank of China","ror":"https://ror.org/02mt4s337","country_code":"CN","type":"other","lineage":["https://openalex.org/I917184967"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Jin","raw_affiliation_strings":["GRG Banking Equipment Co., Ltd,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"GRG Banking Equipment Co., Ltd,Guangzhou,China","institution_ids":["https://openalex.org/I917184967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101684274","display_name":"Yuheng Huang","orcid":"https://orcid.org/0000-0002-5358-4826"},"institutions":[{"id":"https://openalex.org/I917184967","display_name":"Bank of China","ror":"https://ror.org/02mt4s337","country_code":"CN","type":"other","lineage":["https://openalex.org/I917184967"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuheng Huang","raw_affiliation_strings":["GRG Banking Equipment Co., Ltd,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"GRG Banking Equipment Co., Ltd,Guangzhou,China","institution_ids":["https://openalex.org/I917184967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101281093"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.4854,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6480496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9921000003814697,"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":0.9921000003814697,"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":0.9767000079154968,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9162999987602234,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.6892912983894348},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5778985619544983},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42838355898857117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4103164076805115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15170586109161377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6892912983894348},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5778985619544983},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42838355898857117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4103164076805115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15170586109161377},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688230","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Active":[0,29],"learning":[1,118],"is":[2,14,36,73,96,113,142,180],"attracting":[3],"more":[4,6],"and":[5,87,149,168,174,193],"attention":[7],"in":[8,16,34,68,100],"person":[9],"re-identification":[10],"(Re-ID),":[11],"as":[12,80,160,172],"it":[13,72,200],"promising":[15],"the":[17,45,55,77,101,114,133,137,146,155,177,183,191,196,216],"scalability":[18],"of":[19,31,76,136,157,195],"Re-ID":[20,35,158],"models":[21,159],"to":[22,61,116],"satisfy":[23],"performance":[24,203],"with":[25,64,204,207],"reduced":[26],"labeling":[27,78],"cost.":[28],"sampling":[30,112,129],"pair-wise":[32,211],"images":[33],"a":[37,74,90,126,161],"highly":[38],"imbalanced":[39],"problem,":[40,164],"where":[41,165],"negative":[42,56,169],"pairs":[43,51,63,83,170],"are":[44,171],"vast":[46],"majority.":[47],"To":[48],"avoid":[49],"sampled":[50,82],"being":[52],"dominated":[53],"by":[54,145],"relationship,":[57],"previous":[58],"works":[59],"tend":[60],"sample":[62],"confident":[65],"positive":[66,86,167],"relationships":[67],"various":[69],"ways.":[70],"However,":[71],"waste":[75],"budget":[79],"most":[81,138],"will":[84],"be":[85],"already":[88],"have":[89],"very":[91],"close":[92],"distance.":[93,140],"Thus,":[94],"there":[95],"no":[97],"significant":[98],"improvement":[99],"model":[102,178],"performance.":[103],"In":[104],"this":[105,122],"paper,":[106],"we":[107,124],"first":[108],"argue":[109],"that":[110],"balanced":[111,128],"key":[115],"active":[117],"for":[119],"Re-ID.":[120],"Along":[121],"line,":[123],"propose":[125],"na\u00efve":[127],"method":[130],"based":[131,181],"on":[132,182,188],"global":[134],"estimation":[135,148],"confusing":[139],"It":[141],"further":[143],"improved":[144],"label-wise":[147],"diversity":[150],"measurement.":[151],"We":[152],"also":[153],"formulate":[154],"training":[156,179],"constrained":[162],"clustering":[163],"labeled":[166],"must-link":[173],"cannot-link.":[175],"Then":[176],"pseudo":[184],"labels.":[185],"Extensive":[186],"experiments":[187],"benchmarks":[189],"evaluate":[190],"effectiveness":[192],"superiority":[194],"proposed":[197],"methods.":[198],"Specifically,":[199],"achieves":[201],"comparable":[202],"supervised":[205],"counterparts":[206],"less":[208],"than":[209],"0.1%":[210],"annotation,":[212],"which":[213],"significantly":[214],"surpasses":[215],"state-of-the-art.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}