{"id":"https://openalex.org/W2903318697","doi":"https://doi.org/10.1109/icpr.2018.8545514","title":"A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification","display_name":"A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2903318697","doi":"https://doi.org/10.1109/icpr.2018.8545514","mag":"2903318697"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5033119978","display_name":"Jianqing Zhu","orcid":"https://orcid.org/0000-0001-8840-3629"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianqing Zhu","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, Fujian, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035422552","display_name":"Huanqiang Zeng","orcid":"https://orcid.org/0000-0002-2802-7745"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanqiang Zeng","raw_affiliation_strings":["College of Information Science and Engineering, Huaqiao University, Xiamen, Fujian, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Huaqiao University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109299788","display_name":"Zhen Lei","orcid":"https://orcid.org/0000-0002-0791-189X"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Lei","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019092879","display_name":"Shengcai Liao","orcid":"https://orcid.org/0000-0001-8941-2295"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengcai Liao","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051758870","display_name":"Lixin Zheng","orcid":"https://orcid.org/0000-0002-5146-8661"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Zheng","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, Fujian, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114170545","display_name":"Canhui Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canhui Cai","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, Fujian, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033119978"],"corresponding_institution_ids":["https://openalex.org/I119045251"],"apc_list":null,"apc_paid":null,"fwci":1.8061,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.89565963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3285","last_page":"3290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8642376661300659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8014014959335327},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7534195184707642},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7049221992492676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425640940666199},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49027660489082336},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.48078078031539917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4795915186405182},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.45932668447494507},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.45670270919799805},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43419232964515686},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20202362537384033},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1939276158809662},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06924054026603699}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8642376661300659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014014959335327},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7534195184707642},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7049221992492676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425640940666199},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49027660489082336},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.48078078031539917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4795915186405182},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.45932668447494507},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.45670270919799805},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43419232964515686},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20202362537384033},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1939276158809662},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06924054026603699},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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:10.1109/icpr.2018.8545514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6600000262260437,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1921523184","https://openalex.org/W1949591461","https://openalex.org/W1958236864","https://openalex.org/W1963882359","https://openalex.org/W1985383544","https://openalex.org/W2097117768","https://openalex.org/W2109032227","https://openalex.org/W2135442311","https://openalex.org/W2144172034","https://openalex.org/W2151065677","https://openalex.org/W2163605009","https://openalex.org/W2204750386","https://openalex.org/W2470322391","https://openalex.org/W2512434173","https://openalex.org/W2591488409","https://openalex.org/W2756012011","https://openalex.org/W2949117887","https://openalex.org/W2963446712","https://openalex.org/W3098711604","https://openalex.org/W6601733005","https://openalex.org/W6681239517","https://openalex.org/W6682286002","https://openalex.org/W6684191040","https://openalex.org/W6725708510","https://openalex.org/W6784740494"],"related_works":["https://openalex.org/W2319888919","https://openalex.org/W2517027266","https://openalex.org/W2424871898","https://openalex.org/W2791119196","https://openalex.org/W2291847203","https://openalex.org/W3004532561","https://openalex.org/W2756241593","https://openalex.org/W2016839265","https://openalex.org/W2921836287","https://openalex.org/W2767651786"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,66],"shortly":[6],"and":[7,24,30,42,59,74,89,102,114],"densely":[8,70],"connected":[9,71],"convolutional":[10,72,76,95],"neural":[11],"network":[12],"(SDC-CNN)":[13],"for":[14],"vehicle":[15,128],"re-identification.":[16],"The":[17,33],"proposed":[18,57,120],"SDC-CNN":[19,106,121],"mainly":[20],"consists":[21],"of":[22,40,69,79,87,93,105],"short":[23,41,58,67],"dense":[25,43,60],"units":[26],"(SDUs),":[27],"necessary":[28],"pooling":[29],"normalization":[31],"layers.":[32],"main":[34],"contribution":[35],"lies":[36],"at":[37],"the":[38,50,56,80,85,90,103,119],"design":[39],"connection":[44,61],"mechanism,":[45,62],"which":[46],"would":[47],"effectively":[48],"improve":[49],"feature":[51],"learning":[52],"ability.":[53],"Specifically,":[54],"in":[55,99],"each":[63,75,94,100],"SDU":[64],"contains":[65],"list":[68],"layers":[73],"layer":[77,96],"is":[78,107,122],"same":[81],"appropriate":[82],"channels.":[83],"Consequently,":[84],"number":[86],"connections":[88],"input":[91],"channel":[92],"are":[97],"limited":[98],"SDU,":[101],"architecture":[104],"simple.":[108],"Extensive":[109],"experiments":[110],"on":[111],"both":[112],"VeRi":[113],"VehicleID":[115],"datasets":[116],"show":[117],"that":[118],"obviously":[123],"superior":[124],"to":[125],"multiple":[126],"state-of-the-art":[127],"re-identification":[129],"methods.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
