{"id":"https://openalex.org/W3013601111","doi":"https://doi.org/10.1109/access.2020.2983174","title":"GAN-Knowledge Distillation for One-Stage Object Detection","display_name":"GAN-Knowledge Distillation for One-Stage Object Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013601111","doi":"https://doi.org/10.1109/access.2020.2983174","mag":"3013601111"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2983174","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2983174","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09046859.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09046859.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037998254","display_name":"Wanwei Wang","orcid":"https://orcid.org/0000-0002-3737-6795"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wanwei Wang","raw_affiliation_strings":["Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Hong","orcid":"https://orcid.org/0000-0002-9107-7550"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Hong","raw_affiliation_strings":["Beijing Zeusee Technologies Company, Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Zeusee Technologies Company, Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431109","display_name":"Feng Wang","orcid":"https://orcid.org/0000-0001-5457-4497"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":["Beijing Zeusee Technologies Company, Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Zeusee Technologies Company, Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103149592","display_name":"Jinke Yu","orcid":"https://orcid.org/0000-0003-1367-4584"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinke Yu","raw_affiliation_strings":["Beijing Zeusee Technologies Company, Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Zeusee Technologies Company, Ltd., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037998254"],"corresponding_institution_ids":["https://openalex.org/I28813325"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.1406,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.93176053,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"60719","last_page":"60727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.992900013923645,"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/computer-science","display_name":"Computer science","score":0.8131272792816162},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.7791993021965027},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7561212778091431},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.653052568435669},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6437486410140991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6210449934005737},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4803503751754761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46233460307121277},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.45497772097587585},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43975839018821716},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43475142121315},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42815354466438293},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4267692565917969},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4204910695552826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08701148629188538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8131272792816162},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.7791993021965027},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7561212778091431},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.653052568435669},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6437486410140991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6210449934005737},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4803503751754761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46233460307121277},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.45497772097587585},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43975839018821716},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43475142121315},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42815354466438293},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4267692565917969},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4204910695552826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08701148629188538},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2983174","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2983174","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09046859.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:84071fb86633471ebfe147c1882042dc","is_oa":true,"landing_page_url":"https://doaj.org/article/84071fb86633471ebfe147c1882042dc","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":"IEEE Access, Vol 8, Pp 60719-60727 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2983174","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2983174","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09046859.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.550000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1953792422","display_name":null,"funder_award_id":"2016YFB0502405","funder_id":"https://openalex.org/F4320321565","funder_display_name":"Civil Aviation University of China"},{"id":"https://openalex.org/G1955708823","display_name":null,"funder_award_id":"3122013D020","funder_id":"https://openalex.org/F4320321565","funder_display_name":"Civil Aviation University of China"},{"id":"https://openalex.org/G217412747","display_name":null,"funder_award_id":"2016YFB0502405","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3832688679","display_name":null,"funder_award_id":"3122013D020","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8114646031","display_name":null,"funder_award_id":"2016Y","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321565","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013601111.pdf","grobid_xml":"https://content.openalex.org/works/W3013601111.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2119144962","https://openalex.org/W2125389028","https://openalex.org/W2144794286","https://openalex.org/W2193145675","https://openalex.org/W2233116163","https://openalex.org/W2279098554","https://openalex.org/W2300242332","https://openalex.org/W2520760693","https://openalex.org/W2561238782","https://openalex.org/W2739879705","https://openalex.org/W2750432752","https://openalex.org/W2750784772","https://openalex.org/W2883780447","https://openalex.org/W2903396356","https://openalex.org/W2950800384","https://openalex.org/W2952787292","https://openalex.org/W2959289524","https://openalex.org/W2962966271","https://openalex.org/W2962982906","https://openalex.org/W2963000224","https://openalex.org/W2963037989","https://openalex.org/W2963094099","https://openalex.org/W2963122961","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2963397674","https://openalex.org/W2963684088","https://openalex.org/W2967584026","https://openalex.org/W3106250896","https://openalex.org/W4297775537","https://openalex.org/W4320013936","https://openalex.org/W6620707391","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6639102338","https://openalex.org/W6677580257","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6695314431","https://openalex.org/W6714138976","https://openalex.org/W6725543821","https://openalex.org/W6730179637","https://openalex.org/W6737664043","https://openalex.org/W6743188669","https://openalex.org/W6750401872","https://openalex.org/W6753767121","https://openalex.org/W6755034786","https://openalex.org/W6756633790"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2949096641","https://openalex.org/W2970686063"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2,15],"(CNN)":[3],"have":[4],"a":[5,66,73,101],"significant":[6],"improvement":[7],"in":[8,154],"the":[9,18,34,51,57,93,116,148,151,166],"accuracy":[10],"of":[11,20,33,37,59,79,144,150,169],"object":[12,60,95,118,156],"detection.":[13,119,157],"As":[14],"become":[16],"deeper,":[17],"precision":[19,58],"detection":[21,61,96],"becomes":[22],"obviously":[23],"improved,":[24],"and":[25,44,68,89,103,127,134,138],"more":[26],"floating-point":[27],"calculations":[28],"are":[29,82,130],"also":[30],"needed.":[31],"Because":[32],"great":[35],"amount":[36],"calculation,":[38],"it":[39],"is":[40],"inconvenient":[41],"for":[42,115,142],"mobile":[43],"embedded":[45],"vision":[46],"applications.":[47],"Many":[48],"researchers":[49],"apply":[50],"knowledge":[52,64,80,105],"distillation":[53,81,106],"method":[54,107],"to":[55,72,84,146],"improve":[56,147],"by":[62,124],"transferring":[63],"from":[65],"deeper":[67],"larger":[69],"teachers":[70],"network":[71,126,129,153],"small":[74],"student":[75,128,152],"one.":[76],"Most":[77],"methods":[78],"needed":[83],"design":[85],"complex":[86],"cost":[87],"functions":[88],"mainly":[90],"aim":[91],"at":[92],"two-stage":[94],"algorithm.":[97],"Therefore,":[98],"we":[99],"propose":[100],"clean":[102],"effective":[104],"called":[108],"Generative":[109],"Adversarial":[110],"Networks":[111],"-":[112],"Knowledge":[113],"Distillation(GAN-KD)":[114],"one-stage":[117,155],"The":[120,158],"feature":[121],"maps":[122],"generated":[123],"teacher":[125],"employed":[131],"as":[132],"true":[133],"fake":[135],"samples":[136],"respectively,":[137],"generating":[139],"adversarial":[140],"training":[141],"both":[143],"them":[145],"performance":[149,167],"experimental":[159],"result":[160],"shows":[161],"that":[162],"our":[163],"approach":[164],"achieves":[165],"gain":[168],"5%":[170],"mAP":[171],"when":[172],"compared":[173],"with":[174],"MobilenetV1":[175],"on":[176],"COCO":[177],"dataset.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
