{"id":"https://openalex.org/W3111484680","doi":"https://doi.org/10.1186/s13634-021-00767-x","title":"Viewpoint robust knowledge distillation for accelerating vehicle re-identification","display_name":"Viewpoint robust knowledge distillation for accelerating vehicle re-identification","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3111484680","doi":"https://doi.org/10.1186/s13634-021-00767-x","mag":"3111484680"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-021-00767-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00767-x","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00767-x","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00767-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101562216","display_name":"Yi Xie","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":true,"raw_author_name":"Yi Xie","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075489680","display_name":"Fei Shen","orcid":"https://orcid.org/0000-0001-9749-0234"},"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":"Fei Shen","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","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":false,"raw_author_name":"Jianqing Zhu","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","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 Engineering, Huaqiao University, Quanzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101562216"],"corresponding_institution_ids":["https://openalex.org/I119045251"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":1.4566,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83613629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9979000091552734,"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":0.7829998731613159},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.729783296585083},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5939950346946716},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5674650073051453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5565864443778992},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5463048815727234},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.467649906873703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.438493549823761},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17327412962913513},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06852978467941284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829998731613159},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.729783296585083},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5939950346946716},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5674650073051453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5565864443778992},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5463048815727234},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.467649906873703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.438493549823761},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17327412962913513},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06852978467941284},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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":2,"locations":[{"id":"doi:10.1186/s13634-021-00767-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00767-x","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00767-x","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:305adbccebcd41598c7d5c19d8c2324e","is_oa":true,"landing_page_url":"https://doaj.org/article/305adbccebcd41598c7d5c19d8c2324e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-13 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-021-00767-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00767-x","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00767-x","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7599999904632568,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G180670277","display_name":null,"funder_award_id":"2018J01090","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G2778177976","display_name":null,"funder_award_id":"2019J06017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4489811625","display_name":null,"funder_award_id":"201910","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4879398371","display_name":null,"funder_award_id":"61876178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5463489628","display_name":null,"funder_award_id":"2018C115R","funder_id":"https://openalex.org/F4320329898","funder_display_name":"Science and Technology Bureau of Quanzhou"},{"id":"https://openalex.org/G5806713516","display_name":null,"funder_award_id":"2019J06017","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6963955736","display_name":null,"funder_award_id":"61976098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8029899625","display_name":null,"funder_award_id":"61871434","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G880627170","display_name":null,"funder_award_id":"61802136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G889392040","display_name":null,"funder_award_id":"1976098","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320329898","display_name":"Science and Technology Bureau of Quanzhou","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3111484680.pdf","grobid_xml":"https://content.openalex.org/works/W3111484680.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1821462560","https://openalex.org/W1998808035","https://openalex.org/W2096733369","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2470322391","https://openalex.org/W2519904008","https://openalex.org/W2591488409","https://openalex.org/W2739879705","https://openalex.org/W2743289088","https://openalex.org/W2789938689","https://openalex.org/W2799251491","https://openalex.org/W2802810579","https://openalex.org/W2894016331","https://openalex.org/W2903318697","https://openalex.org/W2919317477","https://openalex.org/W2948582784","https://openalex.org/W2949117887","https://openalex.org/W2954626788","https://openalex.org/W2955854238","https://openalex.org/W2963200533","https://openalex.org/W2963446712","https://openalex.org/W2964118293","https://openalex.org/W2964879822","https://openalex.org/W2970971581","https://openalex.org/W2982041213","https://openalex.org/W2983188006","https://openalex.org/W2987861506","https://openalex.org/W2996199246","https://openalex.org/W2996695408","https://openalex.org/W2998508940","https://openalex.org/W2999111188","https://openalex.org/W3004127093","https://openalex.org/W3015735225","https://openalex.org/W3016219971","https://openalex.org/W3099206234","https://openalex.org/W3105077954","https://openalex.org/W3204510963","https://openalex.org/W6638523607","https://openalex.org/W6679338098","https://openalex.org/W6833262898"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2953234277"],"abstract_inverted_index":{"Abstract":[0],"Vehicle":[1],"re-identification":[2,17,31,45,139,171],"is":[3,141,153],"a":[4,52,68,73,96,101,135],"challenging":[5],"task":[6],"that":[7,162],"matches":[8],"vehicle":[9,16,44,61,138,170],"images":[10],"captured":[11],"by":[12],"different":[13],"cameras.":[14],"Recent":[15],"approaches":[18,172],"exploit":[19],"complex":[20,69],"deep":[21,84],"networks":[22,85],"to":[23,41,86],"learn":[24,87],"viewpoint":[25,53,88,110],"robust":[26,54,89,111],"features":[27],"for":[28,59],"obtaining":[29],"accurate":[30,175],"results,":[32],"which":[33],"causes":[34],"large":[35],"computations":[36,152],"in":[37],"their":[38],"testing":[39,151],"phases":[40],"restrict":[42],"the":[43,78,114,119,123,129,137,146,163],"speed.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"propose":[51],"knowledge":[55,112],"distillation":[56],"(VRKD)":[57],"method":[58,65,166],"accelerating":[60],"re-identification.":[62],"The":[63,91,106],"VRKD":[64,165],"consists":[66],"of":[67,149],"teacher":[70,79,115,132],"network":[71,80,93,108,116,148],"and":[72,100,131,158,176],"simple":[74],"student":[75,92,107,130,147],"network.":[76],"Specifically,":[77],"uses":[81],"quadruple":[82],"directional":[83],"features.":[90],"only":[94,145],"contains":[95],"shallow":[97],"backbone":[98],"sub-network":[99],"global":[102],"average":[103],"pooling":[104],"layer.":[105],"distills":[109],"from":[113,128],"via":[117],"minimizing":[118],"Kullback-Leibler":[120],"divergence":[121],"between":[122],"posterior":[124],"probability":[125],"distributions":[126],"resulted":[127],"networks.":[133],"As":[134],"result,":[136],"speed":[140,177],"significantly":[142],"accelerated":[143],"since":[144],"small":[150],"demanded.":[154],"Experiments":[155],"on":[156],"VeRi776":[157],"VehicleID":[159],"datasets":[160],"show":[161],"proposed":[164],"outperforms":[167],"many":[168],"state-of-the-art":[169],"with":[173],"better":[174],"performance.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}