{"id":"https://openalex.org/W4319043548","doi":"https://doi.org/10.3390/s23031616","title":"WLiT: Windows and Linear Transformer for Video Action Recognition","display_name":"WLiT: Windows and Linear Transformer for Video Action Recognition","publication_year":2023,"publication_date":"2023-02-02","ids":{"openalex":"https://openalex.org/W4319043548","doi":"https://doi.org/10.3390/s23031616","pmid":"https://pubmed.ncbi.nlm.nih.gov/36772658"},"language":"en","primary_location":{"id":"doi:10.3390/s23031616","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031616","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1616/pdf?version=1675306343","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/3/1616/pdf?version=1675306343","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102776191","display_name":"Ruoxi Sun","orcid":"https://orcid.org/0000-0002-4430-3279"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoxi Sun","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China","Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083819190","display_name":"Tianzhao Zhang","orcid":"https://orcid.org/0000-0001-7743-0920"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhao Zhang","raw_affiliation_strings":["School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009936061","display_name":"Yong Wan","orcid":"https://orcid.org/0000-0002-7469-9737"},"institutions":[{"id":"https://openalex.org/I4210140379","display_name":"Institute of Rock and Soil Mechanics","ror":"https://ror.org/0366c6s65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210140379"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wan","raw_affiliation_strings":["State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China","institution_ids":["https://openalex.org/I4210140379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041256730","display_name":"Fuping Zhang","orcid":"https://orcid.org/0000-0002-8042-4609"},"institutions":[{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuping Zhang","raw_affiliation_strings":["Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056113267","display_name":"Jianming Wei","orcid":"https://orcid.org/0000-0002-2444-1260"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Wei","raw_affiliation_strings":["Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041256730"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210111959"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.8592,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74343463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"23","issue":"3","first_page":"1616","last_page":"1616"},"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":0.9958999752998352,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.7487766742706299},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.7270488739013672},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6361842155456543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5148174166679382},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4752609133720398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4650600552558899},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.42871707677841187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3285801410675049},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2987052798271179},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09442567825317383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487766742706299},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.7270488739013672},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6361842155456543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5148174166679382},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4752609133720398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4650600552558899},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.42871707677841187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3285801410675049},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2987052798271179},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09442567825317383},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23031616","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031616","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1616/pdf?version=1675306343","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36772658","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36772658","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9919352","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9919352","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9919352/pdf/sensors-23-01616.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a22fa34d6715459daa3977f958ea9d29","is_oa":true,"landing_page_url":"https://doaj.org/article/a22fa34d6715459daa3977f958ea9d29","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 3, p 1616 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/3/1616/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23031616","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23031616","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031616","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1616/pdf?version=1675306343","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3092549777","display_name":null,"funder_award_id":"2021289","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G5354570255","display_name":null,"funder_award_id":"51827814","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/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4319043548.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1923404803","https://openalex.org/W2016053056","https://openalex.org/W2020163092","https://openalex.org/W2024868105","https://openalex.org/W2068611653","https://openalex.org/W2126579184","https://openalex.org/W2147800946","https://openalex.org/W2507009361","https://openalex.org/W2553594924","https://openalex.org/W2618530766","https://openalex.org/W2625366777","https://openalex.org/W2883429621","https://openalex.org/W2901751978","https://openalex.org/W2949846184","https://openalex.org/W2962784628","https://openalex.org/W2963155035","https://openalex.org/W2963524571","https://openalex.org/W2963645879","https://openalex.org/W2963820951","https://openalex.org/W2963925437","https://openalex.org/W2964191259","https://openalex.org/W2964491122","https://openalex.org/W2997582214","https://openalex.org/W3009812836","https://openalex.org/W3016719260","https://openalex.org/W3034572008","https://openalex.org/W3034573343","https://openalex.org/W3035303837","https://openalex.org/W3096833468","https://openalex.org/W3108450508","https://openalex.org/W3109304426","https://openalex.org/W3126721948","https://openalex.org/W3138516171","https://openalex.org/W3166702123","https://openalex.org/W3170860705","https://openalex.org/W3175515048","https://openalex.org/W3175528717","https://openalex.org/W3179869055","https://openalex.org/W3210279979","https://openalex.org/W4206706211","https://openalex.org/W4214493665","https://openalex.org/W4214612132","https://openalex.org/W4214614183","https://openalex.org/W4286212078","https://openalex.org/W4294253316","https://openalex.org/W4312443924","https://openalex.org/W4312560592","https://openalex.org/W4312881242","https://openalex.org/W4385245566","https://openalex.org/W6729983426","https://openalex.org/W6739901393","https://openalex.org/W6756911974","https://openalex.org/W6779879114","https://openalex.org/W6797206543","https://openalex.org/W7015296915"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W3134658850","https://openalex.org/W2355938171","https://openalex.org/W2780079842","https://openalex.org/W4283332100"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,10,19,58,131],"Transformer":[3,80],"has":[4],"led":[5],"to":[6,27,47,53,215],"the":[7,17,29,35,41,55,61,76,97,104,109,113,120,128,153,158,196,202,209,216,221,234],"rapid":[8],"development":[9],"video":[11,84],"understanding,":[12],"but":[13],"it":[14],"also":[15,45],"brings":[16],"problem":[18],"high":[20],"computational":[21,121,173,203],"complexity.":[22],"Previously,":[23],"there":[24,66],"were":[25],"methods":[26,46],"divide":[28,96],"feature":[30,98],"maps":[31,99],"into":[32,100],"windows":[33,102],"along":[34,103,152],"spatiotemporal":[36,56,138,163],"dimensions":[37,106],"and":[38,78,107,136,193,207,223],"then":[39,148],"calculate":[40,108,149],"attention.":[42,93],"There":[43],"are":[44],"perform":[48],"down-sampling":[49],"during":[50],"attention":[51,90,110,133,151],"computation":[52],"reduce":[54],"resolution":[57],"features.":[59],"Although":[60],"complexity":[62,122,174,204,235],"is":[63,67,134],"effectively":[64],"reduced,":[65],"still":[68],"room":[69],"for":[70,82],"further":[71,118],"optimization.":[72],"Thus,":[73],"we":[74,147],"present":[75],"Windows":[77],"Linear":[79,92,150],"(WLiT)":[81],"efficient":[83],"action":[85],"recognition,":[86],"by":[87,205,212,236],"combining":[88],"Spatial-Windows":[89,132],"with":[91,124,171],"We":[94,178],"first":[95],"multiple":[101],"spatial":[105],"separately":[111],"inside":[112],"windows.":[114],"Therefore,":[115],"our":[116,199,227],"model":[117,159],"reduces":[119,201],"compared":[123,214],"previous":[125],"methods.":[126],"However,":[127],"perceptual":[129],"field":[130],"small,":[135],"global":[137],"information":[139],"cannot":[140],"be":[141],"obtained.":[142],"To":[143],"address":[144],"this":[145,176],"problem,":[146],"channel":[154],"dimension":[155],"so":[156],"that":[157],"can":[160],"capture":[161],"complete":[162],"information.":[164],"Our":[165],"method":[166,200,228],"achieves":[167,229],"better":[168],"recognition":[169,210],"accuracy":[170,211,231],"less":[172],"through":[175],"mechanism.":[177],"conduct":[179],"extensive":[180],"experiments":[181],"on":[182],"four":[183],"public":[184],"datasets,":[185,226],"namely":[186],"Something-Something":[187],"V2":[188],"(SSV2),":[189],"Kinetics400":[190],"(K400),":[191],"UCF101,":[192],"HMDB51.":[194],"On":[195,220],"SSV2":[197],"dataset,":[198],"28%":[206],"improves":[208],"1.6%":[213],"State-Of-The-Art":[217],"(SOTA)":[218],"method.":[219],"K400":[222],"two":[224],"other":[225],"SOTA-level":[230],"while":[232],"reducing":[233],"about":[237],"49%.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}