{"id":"https://openalex.org/W4297095243","doi":"https://doi.org/10.1109/tii.2022.3209672","title":"Multilevel Attention-Based Sample Correlations for Knowledge Distillation","display_name":"Multilevel Attention-Based Sample Correlations for Knowledge Distillation","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4297095243","doi":"https://doi.org/10.1109/tii.2022.3209672"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3209672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3209672","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5042645332","display_name":"Jianping Gou","orcid":"https://orcid.org/0000-0003-1413-0693"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]},{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianping Gou","raw_affiliation_strings":["College of Computer and Information Science, College of Software, Southwest University, Chongqing, China","School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, College of Software, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048524847","display_name":"Liyuan Sun","orcid":"https://orcid.org/0000-0002-6079-5541"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Sun","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085309099","display_name":"Baosheng Yu","orcid":"https://orcid.org/0000-0002-0761-7893"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Baosheng Yu","raw_affiliation_strings":["School of Computer Science, Faculty of Engineering, The University of Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Faculty of Engineering, The University of Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003203521","display_name":"Shaohua Wan","orcid":"https://orcid.org/0000-0001-7013-9081"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaohua Wan","raw_affiliation_strings":["Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028245257","display_name":"Weihua Ou","orcid":"https://orcid.org/0000-0001-5241-7703"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Ou","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, Guizhou, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388188","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-5867-9322"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yi","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042645332"],"corresponding_institution_ids":["https://openalex.org/I115592961","https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":10.188,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.98923568,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"19","issue":"5","first_page":"7099","last_page":"7109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9947999715805054,"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/overfitting","display_name":"Overfitting","score":0.7672110795974731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7011930346488953},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6578881740570068},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6313869953155518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5979917049407959},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5779681205749512},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49851155281066895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46479886770248413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46382561326026917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3956567049026489}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7672110795974731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011930346488953},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6578881740570068},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6313869953155518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5979917049407959},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5779681205749512},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49851155281066895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46479886770248413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46382561326026917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3956567049026489},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3209672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3209672","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3406750037","display_name":null,"funder_award_id":"61976107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4363603836","display_name":null,"funder_award_id":"61962010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7784321418","display_name":null,"funder_award_id":"62262005","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W2108598243","https://openalex.org/W2138011018","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2561238782","https://openalex.org/W2620998106","https://openalex.org/W2883780447","https://openalex.org/W2936864631","https://openalex.org/W2963140444","https://openalex.org/W2964137095","https://openalex.org/W2986015886","https://openalex.org/W2995607862","https://openalex.org/W3034368386","https://openalex.org/W3034756453","https://openalex.org/W3041631353","https://openalex.org/W3093439844","https://openalex.org/W3108258117","https://openalex.org/W3118608800","https://openalex.org/W3138154797","https://openalex.org/W3148833562","https://openalex.org/W3177008256","https://openalex.org/W3177052299","https://openalex.org/W3177196641","https://openalex.org/W3177888841","https://openalex.org/W3193378134","https://openalex.org/W3208605683","https://openalex.org/W4205376624","https://openalex.org/W4210593721","https://openalex.org/W4213416473","https://openalex.org/W4214535608","https://openalex.org/W4220674632","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6713132643","https://openalex.org/W6730179637","https://openalex.org/W6769906912","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W2922073769","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4221142204","https://openalex.org/W1492295194"],"abstract_inverted_index":{"Recently,":[0],"model":[1,32,54,93],"compression":[2,33],"has":[3],"been":[4],"widely":[5],"used":[6,153],"for":[7,127,161,175,188,207],"the":[8,19,41,47,71,87,91,98,109,145,167,197,201,204],"deployment":[9],"of":[10,23,90,111,115,203],"cumbersome":[11],"deep":[12,80],"models":[13],"on":[14,184],"resource-limited":[15],"edge":[16],"devices":[17],"in":[18,79],"performance-demanding":[20],"industrial":[21],"Internet":[22],"Things":[24],"(IoT)":[25],"scenarios.":[26],"As":[27],"a":[28,51,56,75],"simple":[29],"yet":[30],"effective":[31,156],"technique,":[34],"knowledge":[35,42,128,160,162,176],"distillation":[36,177],"(KD)":[37],"aims":[38],"to":[39,55,85,96,123,166],"transfer":[40],"(e.g.,":[43],"sample":[44,67,101,125,139,148,173],"relationships":[45],"as":[46,154,170],"relational":[48,62,159,208],"knowledge)":[49],"from":[50,70,134],"large":[52],"teacher":[53,92],"small":[57],"student":[58],"model.":[59],"However,":[60],"existing":[61],"KD":[63,186],"methods":[64],"usually":[65],"build":[66],"correlations":[68,126,140,174],"directly":[69],"feature":[72,88],"maps":[73,89,122,133],"at":[74],"certain":[76],"middle":[77,136],"layer":[78],"neural":[81],"networks,":[82],"which":[83],"tends":[84],"overfit":[86],"and":[94,118,150,157,193],"fails":[95],"address":[97],"most":[99,146],"important":[100,112],"regions.":[102],"Inspired":[103],"by":[104],"this,":[105],"we":[106],"argue":[107],"that":[108],"characteristics":[110],"regions":[113],"are":[114,141],"great":[116],"importance,":[117],"thus,":[119],"introduce":[120],"attention":[121,132],"construct":[124],"distillation.":[129,163],"Specifically,":[130],"with":[131],"multiple":[135],"layers,":[137],"attention-based":[138,172],"newly":[142],"built":[143],"upon":[144],"informative":[147],"regions,":[149],"can":[151],"be":[152],"an":[155],"novel":[158],"We":[164,180],"refer":[165],"proposed":[168,205],"method":[169,206],"multilevel":[171],"(or":[178],"MASCKD).":[179],"perform":[181],"extensive":[182],"experiments":[183],"popular":[185],"datasets":[187],"image":[189,191],"classification,":[190],"retrieval,":[192],"person":[194],"reidentification,":[195],"where":[196],"experimental":[198],"results":[199],"demonstrate":[200],"effectiveness":[202],"KD.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":38},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":6}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}