{"id":"https://openalex.org/W2902834741","doi":"https://doi.org/10.1109/icpr.2018.8545584","title":"Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification","display_name":"Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902834741","doi":"https://doi.org/10.1109/icpr.2018.8545584","mag":"2902834741"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545584","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/A5026986847","display_name":"Fangyu Wu","orcid":"https://orcid.org/0000-0001-9618-8965"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fangyu Wu","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007039694","display_name":"Shiyang Yan","orcid":"https://orcid.org/0000-0003-1411-5952"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyang Yan","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003757015","display_name":"Jeremy S. Smith","orcid":"https://orcid.org/0000-0002-0212-2365"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeremy S. Smith","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101991543","display_name":"Bailing Zhang","orcid":"https://orcid.org/0000-0001-5762-5763"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bailing Zhang","raw_affiliation_strings":["Electrical and Electronic, University of Liverpool"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic, University of Liverpool","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026986847"],"corresponding_institution_ids":["https://openalex.org/I69356397"],"apc_list":null,"apc_paid":null,"fwci":1.4624,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87171713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"283"},"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":0.9983000159263611,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/computer-science","display_name":"Computer science","score":0.8155465722084045},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6568235754966736},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6477111577987671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6310373544692993},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5993813872337341},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5675061941146851},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5622896552085876},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4932481646537781},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4728667438030243},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.47217339277267456},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.443460613489151},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4398638904094696},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41059795022010803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3817474842071533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3500780463218689},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11898443102836609}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8155465722084045},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6568235754966736},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6477111577987671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6310373544692993},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5993813872337341},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5675061941146851},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5622896552085876},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4932481646537781},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4728667438030243},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.47217339277267456},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.443460613489151},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4398638904094696},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41059795022010803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3817474842071533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3500780463218689},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11898443102836609},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545584","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1928419358","https://openalex.org/W1963882359","https://openalex.org/W1971955426","https://openalex.org/W2073220190","https://openalex.org/W2076188996","https://openalex.org/W2108196201","https://openalex.org/W2117667113","https://openalex.org/W2124111503","https://openalex.org/W2173520492","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2242818826","https://openalex.org/W2258908750","https://openalex.org/W2342611082","https://openalex.org/W2400247096","https://openalex.org/W2402144811","https://openalex.org/W2412510955","https://openalex.org/W2470322391","https://openalex.org/W2495961871","https://openalex.org/W2510970676","https://openalex.org/W2512434173","https://openalex.org/W2519904008","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2953384591","https://openalex.org/W2963977416","https://openalex.org/W6713134421","https://openalex.org/W6726373078"],"related_works":["https://openalex.org/W34092691","https://openalex.org/W2365028544","https://openalex.org/W4309984931","https://openalex.org/W2949671220","https://openalex.org/W4282977123","https://openalex.org/W2074435087","https://openalex.org/W1991049327","https://openalex.org/W2186210338","https://openalex.org/W4245973528","https://openalex.org/W2371815184"],"abstract_inverted_index":{"Vehicle":[0,117],"re-identification":[1],"(re-ID)":[2],"remains":[3],"an":[4,177],"unproblematic":[5],"problem":[6,25],"due":[7],"to":[8,34,46,66,84,129,147,152,183],"the":[9,29,54,85,90,108,122,136,148,153,162,168,174,185,200,204],"complicated":[10],"variations":[11],"in":[12,28,89,97],"vehicle":[13,72,91,132],"appearances":[14],"from":[15],"multiple":[16],"camera":[17],"views.":[18],"Most":[19],"existing":[20],"algorithms":[21],"for":[22,116,157],"solving":[23],"this":[24,98],"are":[26],"developed":[27],"fully-supervised":[30],"setting,":[31],"requiring":[32],"access":[33],"a":[35,63,75,102,140],"large":[36,48],"number":[37],"of":[38,50,57,87,124,170],"labeled":[39,51],"training":[40,137],"data.":[41],"However,":[42],"it":[43],"is":[44,62,181],"impractical":[45],"expect":[47],"quantities":[49],"data":[52,58],"because":[53],"high":[55],"cost":[56],"annotation.":[59],"Besides,":[60],"re-ranking":[61,88,114,179],"significant":[64],"way":[65],"improve":[67],"its":[68],"performance":[69,169],"when":[70],"considering":[71],"re-ID":[73,175],"as":[74],"retrieval":[76],"process.":[77],"Yet":[78],"limited":[79],"effort":[80],"has":[81],"been":[82],"devoted":[83],"research":[86],"re-ID.":[92,118,171],"To":[93,172],"address":[94],"these":[95],"problems,":[96],"paper,":[99],"we":[100,120],"propose":[101],"semi-supervised":[103],"learning":[104,164],"system":[105],"based":[106],"on":[107,191],"Convolutional":[109],"Neural":[110],"Network":[111,127],"(CNN)":[112],"and":[113,134,166,196],"strategy":[115],"Specifically,":[119],"adopt":[121],"structure":[123],"Generative":[125],"Adversarial":[126],"(GAN)":[128],"obtain":[130],"more":[131],"images":[133],"enrich":[135],"set,":[138],"then":[139],"uniform":[141],"label":[142],"distribution":[143],"will":[144],"be":[145],"assigned":[146],"unlabeled":[149],"samples":[150],"according":[151],"Label":[154],"Smoothing":[155],"Regularization":[156],"Outliers":[158],"(LSRO),":[159],"which":[160],"regularizes":[161],"supervised":[163],"model":[165],"improves":[167],"optimize":[173,184],"results,":[176],"improved":[178],"method":[180,201],"exploited":[182],"initial":[186],"rank":[187],"list.":[188],"Experimental":[189],"results":[190],"publically":[192],"available":[193],"datasets,":[194],"VeRi-776":[195],"VehicleID,":[197],"demonstrate":[198],"that":[199],"significantly":[202],"outperforms":[203],"state-of-the-art.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2025-12-01T00:03:43.161839","created_date":"2025-10-10T00:00:00"}