{"id":"https://openalex.org/W3093407505","doi":"https://doi.org/10.1145/3394171.3414038","title":"Contextual Multi-Scale Feature Learning for Person Re-Identification","display_name":"Contextual Multi-Scale Feature Learning for Person Re-Identification","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3093407505","doi":"https://doi.org/10.1145/3394171.3414038","mag":"3093407505"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3414038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3414038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102813072","display_name":"Baoyu Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoyu Fan","raw_affiliation_strings":["Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336188","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-1817-8213"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549172","display_name":"Runze Zhang","orcid":"https://orcid.org/0009-0003-6318-3342"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runze Zhang","raw_affiliation_strings":["Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091834117","display_name":"Zhenhua Guo","orcid":"https://orcid.org/0000-0002-8201-0864"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Guo","raw_affiliation_strings":["Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568187","display_name":"Yaqian Zhao","orcid":"https://orcid.org/0000-0002-9170-0090"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqian Zhao","raw_affiliation_strings":["Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064453711","display_name":"Rengang Li","orcid":"https://orcid.org/0000-0002-4297-4335"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rengang Li","raw_affiliation_strings":["Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074821242","display_name":"Weifeng Gong","orcid":"https://orcid.org/0009-0005-0213-8008"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Gong","raw_affiliation_strings":["Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co.,Ltd. & State Key Laboratory of High-end Server & Storage Technology, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210144143"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"655","last_page":"663"},"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":0.9976000189781189,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8237584233283997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7189489006996155},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.696891188621521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5992187857627869},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5208871364593506},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5158290266990662},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5076159238815308},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.475273072719574},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.45738452672958374},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4549039304256439},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4440573453903198},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3618367910385132},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11037635803222656}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8237584233283997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7189489006996155},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.696891188621521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5992187857627869},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5208871364593506},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5158290266990662},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5076159238815308},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.475273072719574},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.45738452672958374},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4549039304256439},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4440573453903198},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3618367910385132},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11037635803222656},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3414038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3414038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1982925187","https://openalex.org/W2279098554","https://openalex.org/W2511791013","https://openalex.org/W2584637367","https://openalex.org/W2752782242","https://openalex.org/W2755066373","https://openalex.org/W2768610172","https://openalex.org/W2795758732","https://openalex.org/W2798385569","https://openalex.org/W2798458055","https://openalex.org/W2798794112","https://openalex.org/W2798874329","https://openalex.org/W2799047769","https://openalex.org/W2883348239","https://openalex.org/W2883638665","https://openalex.org/W2890159224","https://openalex.org/W2896888563","https://openalex.org/W2928165649","https://openalex.org/W2954765307","https://openalex.org/W2962691289","https://openalex.org/W2962706983","https://openalex.org/W2962926870","https://openalex.org/W2963047834","https://openalex.org/W2963049565","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963330186","https://openalex.org/W2963438548","https://openalex.org/W2963690547","https://openalex.org/W2963842104","https://openalex.org/W2964044605","https://openalex.org/W2964130064","https://openalex.org/W2964186374","https://openalex.org/W2979938149","https://openalex.org/W2980073905","https://openalex.org/W2986093954","https://openalex.org/W3100506510"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2510961579","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Representing":[0],"features":[1,17,113,134],"at":[2,30],"multiple":[3,28],"scales":[4,29,36,45],"is":[5,146],"significant":[6],"for":[7,67,94,105,135,151],"person":[8,152],"re-identification":[9],"(Re-ID).":[10],"Most":[11],"existing":[12],"methods":[13],"learn":[14],"the":[15,25,89,100,119,140,147],"multi-scale":[16,64,72,82],"by":[18,84],"stacking":[19],"streams":[20],"and":[21,70,99,154],"convolutions":[22],"without":[23,114],"considering":[24],"cooperation":[26],"of":[27,78,142],"a":[31,59,115,124],"granular":[32],"level.":[33],"However,":[34],"most":[35,148,166],"are":[37],"more":[38],"discriminative":[39],"only":[40],"when":[41],"they":[42],"integrate":[43],"other":[44],"as":[46],"contextual":[47,52,63,71,81],"information.":[48],"We":[49],"termed":[50],"that":[51],"multi-scale.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57,122],"proposed":[58],"novel":[60],"architecture,":[61],"namely":[62],"network":[65],"(CMSNet),":[66],"learning":[68],"common":[69],"representations":[73,83],"simultaneously.":[74],"The":[75],"building":[76],"block":[77],"CMSNet":[79,145],"obtains":[80],"bidirectionally":[85],"hierarchical":[86,91,102],"connection":[87,92,103],"groups:":[88],"forward":[90],"group":[93,104],"stepwise":[95],"inter-scale":[96,107],"information":[97,108],"fusion":[98],"backward":[101],"leap-frogging":[106],"fusion.":[109],"Too":[110],"rich":[111],"scale":[112,127,133],"selection":[116,128],"will":[117],"confuse":[118],"discrimination.":[120],"Additionally,":[121],"introduced":[123],"new":[125],"channel-wise":[126],"module":[129],"to":[130],"dynamically":[131],"select":[132],"corresponding":[136],"input":[137],"image.":[138],"To":[139],"best":[141],"our":[143],"knowledge,":[144],"lightweight":[149],"model":[150],"Re-ID":[153,163],"it":[155],"achieves":[156],"state-of-the-art":[157],"performance":[158],"on":[159],"four":[160],"commonly":[161],"used":[162],"datasets,":[164],"surpassing":[165],"large-scale":[167],"models.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}