{"id":"https://openalex.org/W4280529601","doi":"https://doi.org/10.23919/fruct54823.2022.9770932","title":"Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation","display_name":"Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4280529601","doi":"https://doi.org/10.23919/fruct54823.2022.9770932"},"language":"en","primary_location":{"id":"doi:10.23919/fruct54823.2022.9770932","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct54823.2022.9770932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 31st Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5029670360","display_name":"Manoj Joshi","orcid":"https://orcid.org/0000-0002-6832-0874"},"institutions":[{"id":"https://openalex.org/I4210093402","display_name":"Nepal Development Research Institute","ror":"https://ror.org/00fp8n517","country_code":"NP","type":"nonprofit","lineage":["https://openalex.org/I4210093402"]},{"id":"https://openalex.org/I4210129773","display_name":"Institute of Engineering","ror":"https://ror.org/03ny67e60","country_code":"NP","type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4210129773"]},{"id":"https://openalex.org/I4210144597","display_name":"Institute for Social and Environmental Research-Nepal","ror":"https://ror.org/04xam4r33","country_code":"NP","type":"nonprofit","lineage":["https://openalex.org/I4210144597"]}],"countries":["NP"],"is_corresponding":false,"raw_author_name":"Manoj Joshi","raw_affiliation_strings":["Institute of Engineering,Nepal","Institute of Engineering, Nepal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Engineering,Nepal","institution_ids":["https://openalex.org/I4210093402","https://openalex.org/I4210144597"]},{"raw_affiliation_string":"Institute of Engineering, Nepal","institution_ids":["https://openalex.org/I4210093402","https://openalex.org/I4210129773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059586683","display_name":"Dibakar Raj Pant","orcid":"https://orcid.org/0000-0001-8969-0869"},"institutions":[{"id":"https://openalex.org/I4210093402","display_name":"Nepal Development Research Institute","ror":"https://ror.org/00fp8n517","country_code":"NP","type":"nonprofit","lineage":["https://openalex.org/I4210093402"]},{"id":"https://openalex.org/I4210129773","display_name":"Institute of Engineering","ror":"https://ror.org/03ny67e60","country_code":"NP","type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4210129773"]},{"id":"https://openalex.org/I4210144597","display_name":"Institute for Social and Environmental Research-Nepal","ror":"https://ror.org/04xam4r33","country_code":"NP","type":"nonprofit","lineage":["https://openalex.org/I4210144597"]}],"countries":["NP"],"is_corresponding":false,"raw_author_name":"Dibakar Raj Pant","raw_affiliation_strings":["Institute of Engineering,Nepal","Institute of Engineering, Nepal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Engineering,Nepal","institution_ids":["https://openalex.org/I4210093402","https://openalex.org/I4210144597"]},{"raw_affiliation_string":"Institute of Engineering, Nepal","institution_ids":["https://openalex.org/I4210093402","https://openalex.org/I4210129773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068963284","display_name":"Rupesh Raj Karn","orcid":"https://orcid.org/0000-0002-4682-4457"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Rupesh Raj Karn","raw_affiliation_strings":["Khalifa University,Abu Dhabi,UAE","Khalifa University, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khalifa University,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I176601375"]},{"raw_affiliation_string":"Khalifa University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058539829","display_name":"Jukka Heikkonen","orcid":"https://orcid.org/0000-0002-2468-5708"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jukka Heikkonen","raw_affiliation_strings":["University of Turku,Turku,Finland","University of Turku, Turku, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Turku,Turku,Finland","institution_ids":["https://openalex.org/I155660961"]},{"raw_affiliation_string":"University of Turku, Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006634412","display_name":"Rajeev Kanth","orcid":"https://orcid.org/0000-0003-1109-1211"},"institutions":[{"id":"https://openalex.org/I229325710","display_name":"Savonia University of Applied Sciences","ror":"https://ror.org/0238fqd79","country_code":"FI","type":"education","lineage":["https://openalex.org/I229325710"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Rajeev Kanth","raw_affiliation_strings":["Savonia University of Applied Sciences,Kuopio,Finland","Savonia University of Applied Sciences, Kuopio, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Savonia University of Applied Sciences,Kuopio,Finland","institution_ids":["https://openalex.org/I229325710"]},{"raw_affiliation_string":"Savonia University of Applied Sciences, Kuopio, Finland","institution_ids":["https://openalex.org/I229325710"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5077,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62821004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9934999942779541,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.983299970626831,"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/pose","display_name":"Pose","score":0.848892092704773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8118640184402466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8116251230239868},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6162301301956177},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5664033889770508},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5210408568382263},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5159559845924377},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5089468955993652},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5015854835510254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4782620668411255},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.47587981820106506},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.4425238072872162},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43497923016548157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43200722336769104},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.4203265309333801},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41656529903411865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09771999716758728}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.848892092704773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8118640184402466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116251230239868},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6162301301956177},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5664033889770508},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5210408568382263},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5159559845924377},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5089468955993652},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5015854835510254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4782620668411255},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.47587981820106506},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.4425238072872162},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43497923016548157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43200722336769104},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.4203265309333801},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41656529903411865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09771999716758728},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fruct54823.2022.9770932","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct54823.2022.9770932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 31st Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:d9f7bfa58d10458b974fdc09020389ea","is_oa":false,"landing_page_url":"https://doaj.org/article/d9f7bfa58d10458b974fdc09020389ea","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 31, Iss 1, Pp 71-78 (2022)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W84543019","https://openalex.org/W115244449","https://openalex.org/W1475738481","https://openalex.org/W1643185111","https://openalex.org/W1896788142","https://openalex.org/W1931059338","https://openalex.org/W1974744233","https://openalex.org/W1976948919","https://openalex.org/W2051439328","https://openalex.org/W2075768228","https://openalex.org/W2092387347","https://openalex.org/W2097117768","https://openalex.org/W2102257894","https://openalex.org/W2103077980","https://openalex.org/W2105889057","https://openalex.org/W2112796928","https://openalex.org/W2121955477","https://openalex.org/W2124351082","https://openalex.org/W2127661044","https://openalex.org/W2153000018","https://openalex.org/W2153094732","https://openalex.org/W2155014641","https://openalex.org/W2265959009","https://openalex.org/W2337287714","https://openalex.org/W2341528187","https://openalex.org/W2398545454","https://openalex.org/W2562641989","https://openalex.org/W2582720287","https://openalex.org/W2593748903","https://openalex.org/W2604763608","https://openalex.org/W2621061298","https://openalex.org/W2756935747","https://openalex.org/W2883265831","https://openalex.org/W2885311373","https://openalex.org/W2948978827","https://openalex.org/W2963644257","https://openalex.org/W2963943197","https://openalex.org/W2982717194","https://openalex.org/W2995049146","https://openalex.org/W3096628760","https://openalex.org/W3101998545","https://openalex.org/W6622831970","https://openalex.org/W6636704036","https://openalex.org/W6640475651","https://openalex.org/W6682525577","https://openalex.org/W6734194501","https://openalex.org/W6736057607","https://openalex.org/W6744821594","https://openalex.org/W6753278433","https://openalex.org/W6753505025","https://openalex.org/W6755365793","https://openalex.org/W6768532476","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4287600488","https://openalex.org/W4312694060","https://openalex.org/W4386075737","https://openalex.org/W4281696776","https://openalex.org/W4387967917","https://openalex.org/W4299867837","https://openalex.org/W2951583186"],"abstract_inverted_index":{"Head":[0],"pose":[1,35,43,68,74,84,96,118,135,163],"estimation":[2,69],"is":[3,89,98,130,145],"used":[4,146],"in":[5,22,30,39,47,71,102,132,137,151,197],"a":[6,27,62,92,103,116,152],"variety":[7],"of":[8,33,51,82,128,201],"human-computer":[9],"interface":[10],"applications,":[11],"like":[12],"stare":[13],"tracking,":[14],"driving":[15],"assistance,":[16,18],"impaired":[17],"and":[19,45,173],"entertainment.":[20],"Advances":[21],"convolutional":[23],"neural":[24],"networks":[25],"have":[26],"considerable":[28],"improvement":[29],"the":[31,48,142,160,168,175,198,205],"performance":[32],"head":[34,42,67,73,83,95,117,134,162,187],"estimation.":[36],"However,":[37],"difficulties":[38],"capturing":[40],"well-labelled":[41],"data":[44],"differences":[46],"facial":[49],"features":[50,85],"different":[52],"persons":[53],"make":[54],"them":[55],"difficult":[56],"to":[57,78,147],"use.":[58],"This":[59],"work":[60],"proposes":[61],"meta-learning":[63,101,108],"based":[64],"technique":[65],"for":[66,114,178],"problem":[70],"BIWI":[72,161],"dataset.":[75,164],"An":[76],"approach":[77],"learning":[79],"latent":[80],"representation":[81],"using":[86,100,189],"variational":[87],"autoencoder":[88],"implemented.":[90],"Then":[91],"fast,":[93],"adaptable":[94],"estimator":[97],"trained":[99,169],"few-shot":[104],"settings.":[105,139],"Model":[106],"agnostic":[107],"(MAML)":[109],"algorithm":[110],"has":[111,156],"been":[112,157],"deployed":[113],"training":[115],"estimator.":[119],"Mean":[120],"Average":[121],"Error":[122],"(MAE":[123],"<inf":[124],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[125],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">avg</inf>":[126],")":[127],"7.33":[129],"achieved":[131],"predicting":[133],"angles":[136],"one-shot":[138],"After":[140],"meta-training,":[141],"optimized":[143,182],"model":[144,183],"analyze":[148],"fast":[149],"adaptation":[150],"test":[153,206],"set":[154,200],"that":[155],"separated":[158],"from":[159,204],"We":[165],"begin":[166],"with":[167],"network\u2019s":[170],"optimum":[171],"parameters":[172],"optimize":[174],"inner":[176],"loop":[177],"quick":[179],"adaptation.":[180],"The":[181],"can":[184],"predict":[185],"accurate":[186],"poses":[188],"as":[190,192],"few":[191],"10":[193],"gradient":[194],"descent":[195],"steps":[196],"unseen":[199],"tasks":[202],"sampled":[203],"set.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
