{"id":"https://openalex.org/W4312575985","doi":"https://doi.org/10.1109/icpr56361.2022.9956634","title":"(2+1)D Distilled ShuffleNet: A Lightweight Unsupervised Distillation Network for Human Action Recognition","display_name":"(2+1)D Distilled ShuffleNet: A Lightweight Unsupervised Distillation Network for Human Action Recognition","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312575985","doi":"https://doi.org/10.1109/icpr56361.2022.9956634"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956634","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001193118","display_name":"Duc-Quang Vu","orcid":"https://orcid.org/0000-0001-5458-3713"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]},{"id":"https://openalex.org/I4210115718","display_name":"Thai Nguyen University","ror":"https://ror.org/02128gy91","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210115718"]},{"id":"https://openalex.org/I4387154701","display_name":"Thai Nguyen University Of Education","ror":"https://ror.org/044deqz63","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154701"]}],"countries":["TW","VN"],"is_corresponding":false,"raw_author_name":"Duc-Quang Vu","raw_affiliation_strings":["National Central University,Dept. of Computer Science & Information Engineering,Taoyuan,Taiwan","Thai Nguyen University of Education, Thai Nguyen, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Dept. of Computer Science & Information Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Thai Nguyen University of Education, Thai Nguyen, Vietnam","institution_ids":["https://openalex.org/I4210115718","https://openalex.org/I4387154701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023725893","display_name":"Ngan Le","orcid":"https://orcid.org/0000-0003-2571-0511"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ngan T.H. Le","raw_affiliation_strings":["University of Arkansas,Dept. of Computer Science & Computer Engineering,Fayetteville,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arkansas,Dept. of Computer Science & Computer Engineering,Fayetteville,USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029325015","display_name":"Jia\u2010Ching Wang","orcid":"https://orcid.org/0000-0003-0024-6732"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jia-Ching Wang","raw_affiliation_strings":["National Central University,Dept. of Computer Science & Information Engineering,Taoyuan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Dept. of Computer Science & Information Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3197","last_page":"3203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9969000220298767,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.7974523901939392},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6359001398086548},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.592252790927887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5050023198127747},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5009005069732666},{"id":"https://openalex.org/keywords/distilled-water","display_name":"Distilled water","score":0.4280795454978943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39470577239990234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3388650715351105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7974523901939392},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6359001398086548},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.592252790927887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5050023198127747},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5009005069732666},{"id":"https://openalex.org/C2779429693","wikidata":"https://www.wikidata.org/wiki/Q274959","display_name":"Distilled water","level":2,"score":0.4280795454978943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39470577239990234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3388650715351105},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956634","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7300000190734863,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1546555028","https://openalex.org/W1821462560","https://openalex.org/W2016053056","https://openalex.org/W2156303437","https://openalex.org/W2194775991","https://openalex.org/W2561238782","https://openalex.org/W2619947201","https://openalex.org/W2739879705","https://openalex.org/W2769122686","https://openalex.org/W2793383859","https://openalex.org/W2809562466","https://openalex.org/W2883780447","https://openalex.org/W2900471873","https://openalex.org/W2947084868","https://openalex.org/W2962934715","https://openalex.org/W2963155035","https://openalex.org/W2963420686","https://openalex.org/W2963524571","https://openalex.org/W2963534679","https://openalex.org/W2963820951","https://openalex.org/W2964111476","https://openalex.org/W2964118293","https://openalex.org/W2964207322","https://openalex.org/W2968868585","https://openalex.org/W2981385151","https://openalex.org/W2981537897","https://openalex.org/W2981548405","https://openalex.org/W2990503944","https://openalex.org/W3010874390","https://openalex.org/W3047425522","https://openalex.org/W3096833468","https://openalex.org/W3101999878","https://openalex.org/W3131707379","https://openalex.org/W3163676133","https://openalex.org/W3173621652","https://openalex.org/W3176780013","https://openalex.org/W3186221976","https://openalex.org/W3210279979","https://openalex.org/W4206215724","https://openalex.org/W4214614183","https://openalex.org/W6631456553","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6682864246","https://openalex.org/W6730179637","https://openalex.org/W6743731764","https://openalex.org/W6744865055","https://openalex.org/W6745960190","https://openalex.org/W6748082341","https://openalex.org/W6749242622","https://openalex.org/W6755751938","https://openalex.org/W6756497100","https://openalex.org/W6775300016","https://openalex.org/W6790745376","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W4362700434","https://openalex.org/W1979078585","https://openalex.org/W2379416027","https://openalex.org/W2391372203","https://openalex.org/W3045594154","https://openalex.org/W2185562424","https://openalex.org/W4390485092","https://openalex.org/W3094515706","https://openalex.org/W2997504223","https://openalex.org/W2248794401"],"abstract_inverted_index":{"While":[0],"most":[1],"existing":[2],"deep":[3],"neural":[4],"networks":[5,149],"(DNN)":[6],"architectures":[7],"are":[8,27],"proposed":[9,67],"for":[10],"increasing":[11],"performance,":[12],"they":[13],"also":[14],"raise":[15],"overall":[16],"model":[17,76],"complexity.":[18],"However,":[19],"practical":[20],"applications":[21],"require":[22,98],"lightweight":[23,52,74,85,141],"DNN":[24,75],"models,":[25],"that":[26,77,139],"able":[28],"to":[29,49,54,71,107,111,120],"run":[30],"real-time":[31,82],"in":[32],"edge":[33],"computing":[34],"devices.":[35],"In":[36],"this":[37],"work,":[38],"we":[39,118],"present":[40],"a":[41,51,73],"simple":[42],"and":[43,81,131,152,158,177],"elegant":[44],"unsupervised":[45,93],"distillation":[46,148],"learning":[47],"paradigm":[48],"train":[50],"network":[53],"human":[55],"action":[56],"recognition":[57],"called":[58],"(2+1)D":[59,86,142],"Distilled":[60,87,143],"ShuffleNet.":[61],"Leveraging":[62],"the":[63,66,105,108,113,122,163],"distilling":[64,102],"technique,":[65],"method":[68],"allows":[69],"us":[70],"create":[72],"achieves":[78],"high":[79],"accuracy":[80,155],"speed.":[83],"Our":[84],"ShuffleNet":[88,144],"is":[89,167],"designed":[90],"as":[91],"an":[92],"paradigm;":[94],"it":[95],"does":[96],"not":[97],"labelled":[99],"data":[100],"during":[101],"knowledge":[103,123],"from":[104,124],"teacher":[106,130],"student.":[109],"Furthermore,":[110],"help":[112],"student":[114],"be":[115],"more":[116],"\"intelligent\",":[117],"propose":[119],"distill":[121],"two":[125],"different":[126],"teachers,":[127],"i.e.,":[128],"2D":[129],"3D":[132],"teacher.":[133],"The":[134],"experimental":[135],"results":[136],"have":[137],"shown":[138],"our":[140],"outperforms":[145],"other":[146],"state-of-the-art":[147],"with":[150,173],"86.4%":[151],"59.9%":[153],"top-1":[154],"on":[156,171],"UCF101":[157],"HMDB51":[159],"datasets,":[160],"respectively,":[161],"whereas":[162],"inference":[164],"running":[165],"time":[166],"at":[168],"47.16":[169],"FPS":[170],"CPU":[172],"only":[174],"17.1M":[175],"parameters":[176],"12.07":[178],"GFLOPs.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}