{"id":"https://openalex.org/W3124923446","doi":"https://doi.org/10.1109/mmul.2021.3052897","title":"From Semantic to Spatial Awareness: Vehicle Reidentification With Multiple Attention Mechanisms","display_name":"From Semantic to Spatial Awareness: Vehicle Reidentification With Multiple Attention Mechanisms","publication_year":2021,"publication_date":"2021-01-22","ids":{"openalex":"https://openalex.org/W3124923446","doi":"https://doi.org/10.1109/mmul.2021.3052897","mag":"3124923446"},"language":"en","primary_location":{"id":"doi:10.1109/mmul.2021.3052897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2021.3052897","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","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/A5049275761","display_name":"Wenqian Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqian Zhu","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6903-6755","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741750","display_name":"Zhongyuan Wang","orcid":"https://orcid.org/0000-0002-9796-488X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Wang","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9796-488X","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087726516","display_name":"Ruimin Hu","orcid":"https://orcid.org/0000-0002-0290-5757"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Hu","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0290-5757","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055698842","display_name":"Dengshi Li","orcid":"https://orcid.org/0000-0002-3349-8664"},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengshi Li","raw_affiliation_strings":["School of Artificial Intelligence, Jianghan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3349-8664","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jianghan University, Wuhan, China","institution_ids":["https://openalex.org/I31590910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4711,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.62393531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"28","issue":"3","first_page":"32","last_page":"41"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.8014336824417114},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6543530821800232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.596996545791626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5605925917625427},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5349828600883484},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4989469051361084},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.48279106616973877},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.48126834630966187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.382225900888443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014336824417114},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6543530821800232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.596996545791626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5605925917625427},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5349828600883484},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4989469051361084},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.48279106616973877},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.48126834630966187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.382225900888443},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmul.2021.3052897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2021.3052897","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2396767952","display_name":null,"funder_award_id":"U1736206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2506566822","display_name":null,"funder_award_id":"U1903214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5379492266","display_name":null,"funder_award_id":"61701194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6291367666","display_name":null,"funder_award_id":"2020010601012288","funder_id":"https://openalex.org/F4320336636","funder_display_name":"Wuhan Science and Technology Project"},{"id":"https://openalex.org/G769530383","display_name":null,"funder_award_id":"62071339","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/F4320336636","display_name":"Wuhan Science and Technology Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1536680647","https://openalex.org/W1958236864","https://openalex.org/W2194775991","https://openalex.org/W2470322391","https://openalex.org/W2519904008","https://openalex.org/W2630837129","https://openalex.org/W2788212895","https://openalex.org/W2799251491","https://openalex.org/W2885476150","https://openalex.org/W2914633159","https://openalex.org/W2955854238","https://openalex.org/W2956891660","https://openalex.org/W2963495494","https://openalex.org/W2963977416","https://openalex.org/W2964304299","https://openalex.org/W3035632168","https://openalex.org/W3107561632","https://openalex.org/W6618372016","https://openalex.org/W6726373078","https://openalex.org/W6737137598","https://openalex.org/W6739696289","https://openalex.org/W6748066841","https://openalex.org/W6785665191"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2081900870","https://openalex.org/W2369710579","https://openalex.org/W2545348020","https://openalex.org/W4327728159","https://openalex.org/W2912751582","https://openalex.org/W2130893381","https://openalex.org/W2119567889"],"abstract_inverted_index":{"The":[0],"rapid":[1],"development":[2],"and":[3,11,27,81,83,114,129,144],"popularization":[4],"of":[5,31,57,92,125],"video":[6],"surveillance":[7],"highlight":[8],"the":[9,19,32,62,88,96,111,123,135],"critical":[10],"challenging":[12,141],"problem,":[13],"vehicle":[14,25,53,69,118],"reidentification,":[15],"which":[16],"suffers":[17],"from":[18,104],"limited":[20],"interinstance":[21],"discrepancy":[22],"between":[23],"different":[24],"identities":[26],"large":[28],"intrainstance":[29],"differences":[30],"same":[33],"vehicle.":[34],"In":[35],"this":[36],"article,":[37],"we":[38],"propose":[39],"a":[40],"novel":[41],"multilevel":[42],"attention":[43,58,66,74,85,127],"network":[44],"to":[45,67,75,86,107],"hierarchically":[46],"learn":[47],"an":[48],"efficient":[49],"feature":[50],"embedding":[51],"for":[52,117],"re-ID.":[54,119],"Three":[55],"kinds":[56],"are":[59,101],"designed":[60],"in":[61],"network:":[63],"hard":[64],"local-level":[65],"localize":[68],"salient":[70,93],"parts,":[71],"soft":[72],"pixel-level":[73],"refine":[76],"attended":[77],"pixels":[78],"both":[79],"globally":[80],"locally,":[82],"spatial":[84,90,108],"enhance":[87],"encoder\u2019s":[89],"awareness":[91,106],"regions":[94],"within":[95],"windscreen":[97],"area.":[98],"Multigrain":[99],"features":[100],"subsequently":[102],"learned":[103],"semantic":[105],"awareness,":[109],"guaranteeing":[110],"intraclass":[112],"compactness":[113],"interclass":[115],"separability":[116],"Extensive":[120],"experiments":[121],"validate":[122],"effectiveness":[124],"each":[126],"component":[128],"demonstrate":[130],"that":[131],"our":[132],"approach":[133],"outperforms":[134],"state-of-the-art":[136],"re-ID":[137],"methods":[138],"on":[139],"two":[140],"datasets:":[142],"VehicleID":[143],"Vehicle-1":[145],"M.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
