{"id":"https://openalex.org/W4401708527","doi":"https://doi.org/10.1007/s40747-024-01571-4","title":"Hybrid attentive prototypical network for few-shot action recognition","display_name":"Hybrid attentive prototypical network for few-shot action recognition","publication_year":2024,"publication_date":"2024-08-19","ids":{"openalex":"https://openalex.org/W4401708527","doi":"https://doi.org/10.1007/s40747-024-01571-4"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01571-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01571-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01571-4.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01571-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093945276","display_name":"Zanxi Ruan","orcid":"https://orcid.org/0000-0002-7756-8249"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zanxi Ruan","raw_affiliation_strings":["Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082811985","display_name":"Yingmei Wei","orcid":"https://orcid.org/0000-0003-4568-551X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingmei Wei","raw_affiliation_strings":["Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0003-4568-551X","affiliations":[{"raw_affiliation_string":"Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079425523","display_name":"Yanming Guo","orcid":"https://orcid.org/0000-0001-9184-5313"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Guo","raw_affiliation_strings":["Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048301043","display_name":"Yuxiang Xie","orcid":"https://orcid.org/0000-0002-1474-3185"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Xie","raw_affiliation_strings":["Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093945276"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.4285,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82824707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"10","issue":"6","first_page":"8249","last_page":"8272"},"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":0.996399998664856,"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":0.9937999844551086,"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/computational-intelligence","display_name":"Computational intelligence","score":0.7493560314178467},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6844537258148193},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5821465849876404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4975011646747589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4477510452270508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4166802763938904},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16504356265068054},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.12005707621574402}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.7493560314178467},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6844537258148193},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5821465849876404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4975011646747589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4477510452270508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4166802763938904},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16504356265068054},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.12005707621574402},{"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/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01571-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01571-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01571-4.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4e639100028647ec93ebf6ba19e839c1","is_oa":true,"landing_page_url":"https://doaj.org/article/4e639100028647ec93ebf6ba19e839c1","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":"Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8249-8272 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01571-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01571-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01571-4.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7668742001","display_name":null,"funder_award_id":"61873274","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401708527.pdf","grobid_xml":"https://content.openalex.org/works/W4401708527.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1927052826","https://openalex.org/W2007964100","https://openalex.org/W2106996050","https://openalex.org/W2126579184","https://openalex.org/W2132083787","https://openalex.org/W2194775991","https://openalex.org/W2755856537","https://openalex.org/W2805029945","https://openalex.org/W2894873912","https://openalex.org/W2963155035","https://openalex.org/W2963524571","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2994785205","https://openalex.org/W3034572008","https://openalex.org/W3035374961","https://openalex.org/W3093455342","https://openalex.org/W3095374178","https://openalex.org/W3130023820","https://openalex.org/W3173271747","https://openalex.org/W3180391059","https://openalex.org/W4221086122","https://openalex.org/W4285604868","https://openalex.org/W4296117254","https://openalex.org/W4312259618","https://openalex.org/W4313046672","https://openalex.org/W4321349508","https://openalex.org/W4327744039","https://openalex.org/W4386544112","https://openalex.org/W4387307565","https://openalex.org/W4390872556","https://openalex.org/W4390968997","https://openalex.org/W6600466347"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Most":[0],"previous":[1],"few-shot":[2,34,180,190],"action":[3,35,69,134,191,247],"recognition":[4,36,70,192],"works":[5],"tend":[6],"to":[7,59,67,88,109,152,173],"process":[8],"video":[9,94,126],"temporal":[10,45,84,150],"and":[11,46,85,117,148,196,221,227,236],"spatial":[12,47,86,137],"features":[13,87,127,132],"separately,":[14],"resulting":[15],"in":[16,179,217,241],"insufficient":[17],"extraction":[18,58,81],"of":[19,44,82,93,125,144,170,215,223,238],"comprehensive":[20,91],"features.":[21],"In":[22],"this":[23],"paper,":[24],"a":[25,90,160],"novel":[26,101],"hybrid":[27],"attentive":[28,162],"prototypical":[29,161],"network":[30],"(HAPN)":[31],"framework":[32,51,73,98,186,203],"for":[33,133,140,245],"is":[37],"proposed.":[38],"Distinguished":[39],"by":[40,128],"its":[41,65],"joint":[42],"processing":[43],"information,":[48],"the":[49,60,75,80,100,114,142,168,175,209,234],"HAPN":[50,185],"strategically":[52],"manipulates":[53],"these":[54],"dimensions":[55],"from":[56],"feature":[57,111],"attention":[61],"module,":[62],"consequently":[63],"enhancing":[64],"ability":[66],"perform":[68],"tasks.":[71,181],"Our":[72],"utilizes":[74],"R(2+1)D":[76],"backbone":[77],"network,":[78],"coupling":[79],"integrated":[83],"ensure":[89],"understanding":[92],"content.":[95],"Additionally,":[96],"our":[97,184,202,239],"introduces":[99],"Residual":[102],"Tri-dimensional":[103],"Attention":[104],"(ResTriDA)":[105],"mechanism,":[106],"specifically":[107],"designed":[108],"augment":[110],"information":[112],"across":[113],"temporal,":[115],"spatial,":[116],"channel":[118],"dimensions.":[119],"ResTriDA":[120],"dynamically":[121],"enhances":[122],"crucial":[123],"aspects":[124],"amplifying":[129],"significant":[130],"channel-wise":[131],"distinction,":[135],"accentuating":[136],"details":[138],"vital":[139],"capturing":[141],"essence":[143],"actions":[145],"within":[146],"frames,":[147],"emphasizing":[149],"dynamics":[151],"capture":[153],"movement":[154],"over":[155],"time.":[156],"We":[157,182],"further":[158],"propose":[159],"matching":[163],"module":[164],"(PAM)":[165],"built":[166],"on":[167,187,219,225,229],"concept":[169],"metric":[171],"learning":[172],"resolve":[174],"overfitting":[176],"issue":[177],"common":[178],"evaluate":[183],"three":[188],"classical":[189],"datasets:":[193],"Kinetics-100,":[194],"UCF101,":[195],"HMDB51.":[197],"The":[198],"results":[199],"indicate":[200],"that":[201],"significantly":[204],"outperformed":[205],"state-of-the-art":[206],"methods.":[207],"Notably,":[208],"1-shot":[210],"task,":[211],"demonstrated":[212],"an":[213],"increase":[214],"9.8%":[216],"accuracy":[218],"UCF101":[220],"improvements":[222],"3.9%":[224],"HMDB51":[226],"12.4%":[228],"Kinetics-100.":[230],"These":[231],"gains":[232],"confirm":[233],"robustness":[235],"effectiveness":[237],"approach":[240],"leveraging":[242],"limited":[243],"data":[244],"precise":[246],"recognition.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
