{"id":"https://openalex.org/W4393115925","doi":"https://doi.org/10.1007/s10462-024-10721-6","title":"A review of convolutional neural networks in computer vision","display_name":"A review of convolutional neural networks in computer vision","publication_year":2024,"publication_date":"2024-03-23","ids":{"openalex":"https://openalex.org/W4393115925","doi":"https://doi.org/10.1007/s10462-024-10721-6"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-024-10721-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-10721-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-10721-6.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"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":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-10721-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102254008","display_name":"Xia Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]},{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Zhao","raw_affiliation_strings":["School of Information Science, Guangdong University of Finance & Economics, Guangzhou, 510320, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science, Guangdong University of Finance & Economics, Guangzhou, 510320, China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436505","display_name":"Limin Wang","orcid":"https://orcid.org/0000-0002-3674-7718"},"institutions":[{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]},{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Limin Wang","raw_affiliation_strings":["School of Information Science, Guangdong University of Finance & Economics, Guangzhou, 510320, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science, Guangdong University of Finance & Economics, Guangzhou, 510320, China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324346","display_name":"Yufei Zhang","orcid":"https://orcid.org/0000-0003-1555-5888"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130022, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026964588","display_name":"Xuming Han","orcid":"https://orcid.org/0000-0002-6213-5600"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuming Han","raw_affiliation_strings":["School of Information Science and Technology, Jinan University, Guangzhou, 510632, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Jinan University, Guangzhou, 510632, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051710693","display_name":"Muhammet Deveci","orcid":"https://orcid.org/0000-0002-3712-976X"},"institutions":[{"id":"https://openalex.org/I157637111","display_name":"Naval Academy","ror":"https://ror.org/05syseh24","country_code":"TR","type":"education","lineage":["https://openalex.org/I157637111"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I56306041","display_name":"Lebanese American University","ror":"https://ror.org/00hqkan37","country_code":"LB","type":"education","lineage":["https://openalex.org/I56306041"]}],"countries":["GB","LB","TR"],"is_corresponding":false,"raw_author_name":"Muhammet Deveci","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon","Department of Industrial Engineering, Turkish Naval Academy, National Defence University, 34942 , Tuzla, Istanbul, Turkey","The Bartlett School of Sustainable Construction, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon","institution_ids":["https://openalex.org/I56306041"]},{"raw_affiliation_string":"Department of Industrial Engineering, Turkish Naval Academy, National Defence University, 34942 , Tuzla, Istanbul, Turkey","institution_ids":["https://openalex.org/I157637111"]},{"raw_affiliation_string":"The Bartlett School of Sustainable Construction, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037444970","display_name":"Milan Parmar","orcid":"https://orcid.org/0000-0002-7596-407X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milan Parmar","raw_affiliation_strings":["Department of Computer Science and Engineering, Mississippi State University, Starkville, MS, 39762, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Mississippi State University, Starkville, MS, 39762, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5026964588","https://openalex.org/A5100436505"],"corresponding_institution_ids":["https://openalex.org/I159948400","https://openalex.org/I201459984","https://openalex.org/I4210149618"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":161.6156,"has_fulltext":true,"cited_by_count":1001,"citation_normalized_percentile":{"value":0.99993818,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"57","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9987000226974487,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8562232255935669},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7717201709747314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6119235754013062},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3804972469806671}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8562232255935669},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7717201709747314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6119235754013062},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3804972469806671}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-024-10721-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-10721-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-10721-6.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"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":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-024-10721-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-10721-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-10721-6.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"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":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G3421280247","display_name":null,"funder_award_id":"22BTJ057","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"},{"id":"https://openalex.org/G6509742006","display_name":null,"funder_award_id":"22BTJ057","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"}],"funders":[{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393115925.pdf"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1677409904","https://openalex.org/W1861492603","https://openalex.org/W1976373027","https://openalex.org/W1981276685","https://openalex.org/W2017814585","https://openalex.org/W2097117768","https://openalex.org/W2100495367","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2115763357","https://openalex.org/W2117731089","https://openalex.org/W2151103935","https://openalex.org/W2155904486","https://openalex.org/W2183341477","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2765811365","https://openalex.org/W2887297641","https://openalex.org/W2889474744","https://openalex.org/W2946714339","https://openalex.org/W2962719052","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2964338223","https://openalex.org/W2964350391","https://openalex.org/W2991019415","https://openalex.org/W2993585638","https://openalex.org/W3011424859","https://openalex.org/W3027736210","https://openalex.org/W3034427487","https://openalex.org/W3034522582","https://openalex.org/W3034971973","https://openalex.org/W3090480494","https://openalex.org/W3100993552","https://openalex.org/W3118212025","https://openalex.org/W3125506352","https://openalex.org/W3138340468","https://openalex.org/W3144914540","https://openalex.org/W3160613754","https://openalex.org/W3167976421","https://openalex.org/W3168997536","https://openalex.org/W3184090563","https://openalex.org/W3188452244","https://openalex.org/W3190492058","https://openalex.org/W3206824631","https://openalex.org/W3209806402","https://openalex.org/W3209992943","https://openalex.org/W3211278025","https://openalex.org/W4205260486","https://openalex.org/W4214755574","https://openalex.org/W4224035554","https://openalex.org/W4224283744","https://openalex.org/W4281899332","https://openalex.org/W4281962665","https://openalex.org/W4283213885","https://openalex.org/W4287660544","https://openalex.org/W4290375100","https://openalex.org/W4310497835","https://openalex.org/W4312453532","https://openalex.org/W4312636847","https://openalex.org/W4312658081","https://openalex.org/W4313009682","https://openalex.org/W4313147094","https://openalex.org/W4321483876","https://openalex.org/W4361285150","https://openalex.org/W4375843773","https://openalex.org/W4385566558","https://openalex.org/W6600013530","https://openalex.org/W6604344240","https://openalex.org/W6605946209","https://openalex.org/W6757469501","https://openalex.org/W6836371346"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Abstract":[0],"In":[1,160],"computer":[2,149],"vision,":[3],"a":[4,132],"series":[5],"of":[6,30,58,77,102,135,142,145,168],"exemplary":[7],"advances":[8],"have":[9],"been":[10],"made":[11],"in":[12,71,148],"several":[13],"areas":[14],"involving":[15],"image":[16,23,153],"classification,":[17,154],"semantic":[18],"segmentation,":[19],"object":[20,155],"detection,":[21,156],"and":[22,44,46,82,85,105,123,138,157,166,172],"super-resolution":[24],"reconstruction":[25],"with":[26],"the":[27,68,75,91,136,143,164,169],"rapid":[28,69],"development":[29],"deep":[31,72,170],"convolutional":[32],"neural":[33],"network":[34],"(CNN).":[35],"The":[36],"CNN":[37,60,78,103,146],"has":[38],"superior":[39],"features":[40],"for":[41],"autonomous":[42],"learning":[43,73,94],"expression,":[45],"feature":[47],"extraction":[48],"from":[49],"original":[50],"input":[51,109],"data":[52],"can":[53],"be":[54],"realized":[55],"by":[56],"means":[57],"training":[59],"models":[61,147],"that":[62],"match":[63],"practical":[64],"applications.":[65],"Due":[66],"to":[67],"progress":[70],"technology,":[74],"structure":[76],"is":[79],"becoming":[80],"more":[81,83],"complex":[84],"diverse.":[86],"Consequently,":[87],"it":[88],"gradually":[89],"replaces":[90],"traditional":[92],"machine":[93],"methods.":[95],"This":[96],"paper":[97,130],"presents":[98],"an":[99],"elementary":[100],"understanding":[101],"components":[104],"their":[106],"functions,":[107,116],"including":[108],"layers,":[110,112,114,122],"convolution":[111],"pooling":[113],"activation":[115],"batch":[117],"normalization,":[118],"dropout,":[119],"fully":[120],"connected":[121],"output":[124],"layers.":[125],"On":[126],"this":[127,129],"basis,":[128],"gives":[131],"comprehensive":[133],"overview":[134],"past":[137],"current":[139],"research":[140,174],"status":[141],"applications":[144],"vision":[150],"fields,":[151],"e.g.,":[152],"video":[158],"prediction.":[159],"addition,":[161],"we":[162],"summarize":[163],"challenges":[165],"solutions":[167],"CNN,":[171],"future":[173],"directions":[175],"are":[176],"also":[177],"discussed.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":351},{"year":2025,"cited_by_count":548},{"year":2024,"cited_by_count":102}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
