{"id":"https://openalex.org/W3043955230","doi":"https://doi.org/10.1109/tits.2020.3009000","title":"Global Context Assisted Structure-Aware Vehicle Retrieval","display_name":"Global Context Assisted Structure-Aware Vehicle Retrieval","publication_year":2020,"publication_date":"2020-07-23","ids":{"openalex":"https://openalex.org/W3043955230","doi":"https://doi.org/10.1109/tits.2020.3009000","mag":"3043955230"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.3009000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3009000","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5018868797","display_name":"Yan Tian","orcid":"https://orcid.org/0000-0002-7416-656X"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Tian","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China","Shining 3D Research, Shining 3D Tech Company Ltd., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]},{"raw_affiliation_string":"Shining 3D Research, Shining 3D Tech Company Ltd., Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075177714","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0001-8239-1698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["Enjoyor Company Ltd., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Enjoyor Company Ltd., Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046876862","display_name":"Guohua Cheng","orcid":"https://orcid.org/0000-0003-1798-7094"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210164150","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":"https://ror.org/0551a0y31","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210164150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohua Cheng","raw_affiliation_strings":["Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I4210164150","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022504978","display_name":"Shihao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihao Yu","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407758","display_name":"Xi Li","orcid":"https://orcid.org/0000-0003-3023-1662"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101454187","display_name":"Jianyuan Li","orcid":"https://orcid.org/0009-0000-7375-4039"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianyuan Li","raw_affiliation_strings":["Enjoyor Company Ltd., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Enjoyor Company Ltd., Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102803850","display_name":"Bailin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailin Yang","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5018868797"],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":null,"apc_paid":null,"fwci":1.5702,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.85632336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"23","issue":"1","first_page":"165","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9986000061035156,"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/landmark","display_name":"Landmark","score":0.7298132181167603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162851095199585},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6041731238365173},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5181673765182495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4033903479576111},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3525717854499817},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11839085817337036}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.7298132181167603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162851095199585},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6041731238365173},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5181673765182495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4033903479576111},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3525717854499817},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11839085817337036},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.3009000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3009000","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2136896958","display_name":null,"funder_award_id":"2018C01112","funder_id":"https://openalex.org/F8142712028","funder_display_name":"Key Research and Development Program of Zhejiang Province"},{"id":"https://openalex.org/G2341943521","display_name":null,"funder_award_id":"LY19F030005","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5688290449","display_name":null,"funder_award_id":"61972351","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5875061659","display_name":null,"funder_award_id":"2018YFB1403200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8526258769","display_name":null,"funder_award_id":"LY18F020008","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F8142712028","display_name":"Key Research and Development Program of Zhejiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1949483711","https://openalex.org/W2194775991","https://openalex.org/W2204975001","https://openalex.org/W2295537791","https://openalex.org/W2307770531","https://openalex.org/W2336803177","https://openalex.org/W2470322391","https://openalex.org/W2472899609","https://openalex.org/W2476548250","https://openalex.org/W2511502099","https://openalex.org/W2544587078","https://openalex.org/W2559085405","https://openalex.org/W2584893896","https://openalex.org/W2740020909","https://openalex.org/W2768834613","https://openalex.org/W2774989038","https://openalex.org/W2798814244","https://openalex.org/W2886436888","https://openalex.org/W2951019013","https://openalex.org/W2952074561","https://openalex.org/W2962740980","https://openalex.org/W2962773068","https://openalex.org/W2963026686","https://openalex.org/W2963125676","https://openalex.org/W2963436667","https://openalex.org/W2963616114","https://openalex.org/W2963708168","https://openalex.org/W2963835840","https://openalex.org/W2964076257","https://openalex.org/W2964221239","https://openalex.org/W2964241181","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6685522000","https://openalex.org/W6720829701","https://openalex.org/W6732785522"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W4243161226","https://openalex.org/W2950647290","https://openalex.org/W2620829895","https://openalex.org/W2356918560","https://openalex.org/W1968481813","https://openalex.org/W2392886708"],"abstract_inverted_index":{"In":[0],"vehicle":[1,4,107,121],"retrieval,":[2],"the":[3,12,17,25,29,32,40,73,78,82,102,105],"patch":[5],"should":[6],"first":[7],"be":[8],"localized":[9],"to":[10,49,56,71,91,117],"remove":[11],"irrelevant":[13],"background":[14],"information.":[15],"Moreover,":[16],"negative":[18,33,96],"samples":[19,34,97],"are":[20],"much":[21],"more":[22],"prevalent":[23],"than":[24],"positive":[26],"samples,":[27],"and":[28,53,81,85,94,104],"information":[30,55,80],"from":[31],"is":[35,46],"not":[36],"fully":[37],"exploited":[38],"in":[39,98,120],"triple":[41],"loss.":[42],"What":[43],"we":[44,62],"need":[45],"a":[47,64,87],"way":[48],"incorporate":[50],"global":[51],"knowledge":[52],"structure":[54],"address":[57],"these":[58],"two":[59],"issues.":[60],"Therefore,":[61],"introduce":[63],"local-global":[65],"context":[66],"network":[67],"for":[68],"landmark":[69],"alignment":[70],"update":[72],"predicted":[74],"results":[75],"by":[76],"using":[77],"semantic":[79],"local":[83],"compatibility":[84],"propose":[86],"structure-aware":[88],"quadruple":[89],"loss":[90],"use":[92],"multiple":[93],"diverse":[95],"retrieval.":[99,122],"Experiments":[100],"on":[101],"VehicleID":[103],"ENJOYOR":[106],"retrieval":[108],"datasets":[109],"demonstrate":[110],"that":[111],"our":[112],"approach":[113],"obtains":[114],"accuracy":[115],"comparable":[116],"state-of-the-art":[118],"approaches":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
