{"id":"https://openalex.org/W3101408564","doi":"https://doi.org/10.1109/tip.2020.3036762","title":"Person Re-Identification With Reinforced Attribute Attention Selection","display_name":"Person Re-Identification With Reinforced Attribute Attention Selection","publication_year":2020,"publication_date":"2020-11-13","ids":{"openalex":"https://openalex.org/W3101408564","doi":"https://doi.org/10.1109/tip.2020.3036762","mag":"3101408564","pmid":"https://pubmed.ncbi.nlm.nih.gov/33186114"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3036762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3036762","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100395004","display_name":"Jianfu Zhang","orcid":"https://orcid.org/0000-0002-2673-5860"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jianfu Zhang","raw_affiliation_strings":["MOE Key Laboratory of Artificial Intelligence, Shangha Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Artificial Intelligence, Shangha Jiao Tong University, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032618817","display_name":"Li Niu","orcid":"https://orcid.org/0000-0003-1970-8634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Niu","raw_affiliation_strings":["MOE Key Laboratory of Artificial Intelligence, Shangha Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Artificial Intelligence, Shangha Jiao Tong University, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741568","display_name":"Liqing Zhang","orcid":"https://orcid.org/0000-0001-7597-8503"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liqing Zhang","raw_affiliation_strings":["MOE Key Laboratory of Artificial Intelligence, Shangha Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Artificial Intelligence, Shangha Jiao Tong University, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100395004"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3448,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.90619749,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"603","last_page":"616"},"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":0.9973000288009644,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.805639386177063},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7056549191474915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6241174936294556},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5365825295448303},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5027787685394287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4676147699356079},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4630553722381592},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4546244442462921},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.43658262491226196},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4300293028354645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4164670407772064},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.41547518968582153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805639386177063},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7056549191474915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241174936294556},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5365825295448303},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5027787685394287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4676147699356079},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4630553722381592},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4546244442462921},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.43658262491226196},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4300293028354645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4164670407772064},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.41547518968582153},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.3036762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3036762","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:33186114","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33186114","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G686857591","display_name":null,"funder_award_id":"20511100300","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G969723207","display_name":null,"funder_award_id":"61902247","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/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W1596233070","https://openalex.org/W1836465849","https://openalex.org/W1982925187","https://openalex.org/W2014850105","https://openalex.org/W2068042582","https://openalex.org/W2079972027","https://openalex.org/W2096306138","https://openalex.org/W2097117768","https://openalex.org/W2106053110","https://openalex.org/W2121863487","https://openalex.org/W2145339207","https://openalex.org/W2151873133","https://openalex.org/W2152010828","https://openalex.org/W2155968351","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2201508557","https://openalex.org/W2201581102","https://openalex.org/W2204750386","https://openalex.org/W2295107390","https://openalex.org/W2361187101","https://openalex.org/W2432402544","https://openalex.org/W2471048925","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2604463754","https://openalex.org/W2605439166","https://openalex.org/W2608456260","https://openalex.org/W2612445135","https://openalex.org/W2724213014","https://openalex.org/W2736410039","https://openalex.org/W2746553466","https://openalex.org/W2747685395","https://openalex.org/W2761121566","https://openalex.org/W2766623491","https://openalex.org/W2896888563","https://openalex.org/W2897609390","https://openalex.org/W2904365664","https://openalex.org/W2909593838","https://openalex.org/W2944108536","https://openalex.org/W2951527505","https://openalex.org/W2954765307","https://openalex.org/W2962766801","https://openalex.org/W2962926870","https://openalex.org/W2963049565","https://openalex.org/W2963180826","https://openalex.org/W2963310752","https://openalex.org/W2963362748","https://openalex.org/W2963438548","https://openalex.org/W2963468606","https://openalex.org/W2963477884","https://openalex.org/W2963495494","https://openalex.org/W2963725249","https://openalex.org/W2963842104","https://openalex.org/W2963972681","https://openalex.org/W2964140013","https://openalex.org/W2964289004","https://openalex.org/W2970390221","https://openalex.org/W2979931389","https://openalex.org/W2979938149","https://openalex.org/W2980827638","https://openalex.org/W2990827756","https://openalex.org/W2998508940","https://openalex.org/W2998792609","https://openalex.org/W2999575747","https://openalex.org/W3003755145","https://openalex.org/W3100507239","https://openalex.org/W3100555577","https://openalex.org/W3100927979","https://openalex.org/W3102668440","https://openalex.org/W3106411919","https://openalex.org/W4288944547","https://openalex.org/W4297775537","https://openalex.org/W6638667902","https://openalex.org/W6675751002","https://openalex.org/W6682137061","https://openalex.org/W6684191040","https://openalex.org/W6687681856","https://openalex.org/W6687830471","https://openalex.org/W6712236487","https://openalex.org/W6722037772","https://openalex.org/W6735531217","https://openalex.org/W6737664043","https://openalex.org/W6740745780","https://openalex.org/W6743440100","https://openalex.org/W6747428963","https://openalex.org/W6755068158","https://openalex.org/W6771967508"],"related_works":["https://openalex.org/W2768698792","https://openalex.org/W2948333011","https://openalex.org/W4312745891","https://openalex.org/W1942758450","https://openalex.org/W2994972936","https://openalex.org/W2922338626","https://openalex.org/W4221067497","https://openalex.org/W4380563846","https://openalex.org/W4285239401","https://openalex.org/W3043585682"],"abstract_inverted_index":{"Person":[0],"re-identification":[1,68],"(Re-ID)":[2],"aims":[3],"to":[4,22,32,85,93,131,150],"match":[5],"pedestrian":[6,49],"images":[7,50],"across":[8],"various":[9],"scenes":[10],"in":[11],"video":[12],"surveillance.":[13],"There":[14],"are":[15,64],"a":[16,110],"few":[17],"works":[18],"using":[19],"attribute":[20,30,45,58,73,78,87,144],"information":[21,31,46,79],"boost":[23,33],"Re-ID":[24,34,103,153],"performance.":[25],"Specifically,":[26],"those":[27],"methods":[28],"leverage":[29],"performance":[35],"by":[36],"introducing":[37],"auxiliary":[38],"tasks":[39],"like":[40],"verifying":[41],"the":[42,76,102,147,152],"image":[43],"level":[44,54,57],"of":[47,91,146],"two":[48],"or":[51,89,124],"recognizing":[52],"identity":[53,77],"attributes.":[55],"Identity":[56],"annotations":[59],"cost":[60],"less":[61],"manpower":[62],"and":[63,140],"well-fitted":[65],"for":[66,101],"person":[67],"task":[69],"compared":[70],"with":[71],"image-level":[72],"annotations.":[74],"However,":[75],"may":[80],"be":[81,118],"very":[82],"noisy":[83,133],"due":[84],"incorrect":[86],"annotation":[88],"lack":[90],"discriminativeness":[92],"distinguish":[94],"different":[95],"persons,":[96],"which":[97,116],"is":[98],"probably":[99],"unhelpful":[100],"task.":[104,154],"In":[105],"this":[106],"paper,":[107],"we":[108],"propose":[109],"novel":[111],"Attribute":[112],"Attentional":[113],"Block":[114],"(AAB),":[115],"can":[117],"integrated":[119],"into":[120],"any":[121],"backbone":[122],"network":[123],"framework.":[125],"Our":[126],"AAB":[127],"adopts":[128],"reinforcement":[129],"learning":[130],"drop":[132],"attributes":[134,149],"based":[135],"on":[136,165],"our":[137,159],"designed":[138],"reward":[139],"then":[141],"utilizes":[142],"aggregated":[143],"attention":[145],"remaining":[148],"facilitate":[151],"Experimental":[155],"results":[156,164],"demonstrate":[157],"that":[158],"proposed":[160],"method":[161],"achieves":[162],"state-of-the-art":[163],"three":[166],"benchmark":[167],"datasets.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}