{"id":"https://openalex.org/W4404914968","doi":"https://doi.org/10.1109/tim.2024.3509573","title":"Skeleton-Based Few-Shot Action Recognition via Fine-Grained Information Capture and Adaptive Metric Aggregation","display_name":"Skeleton-Based Few-Shot Action Recognition via Fine-Grained Information Capture and Adaptive Metric Aggregation","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4404914968","doi":"https://doi.org/10.1109/tim.2024.3509573"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3509573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3509573","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5023527100","display_name":"Jingyun Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyun Tian","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057852825","display_name":"Jinjing Gu","orcid":"https://orcid.org/0000-0002-7669-8201"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjing Gu","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102895706","display_name":"Yuanyuan Pu","orcid":"https://orcid.org/0000-0003-0382-4227"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Pu","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010501555","display_name":"Zhengpeng Zhao","orcid":"https://orcid.org/0000-0003-1347-1680"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengpeng Zhao","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023527100"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56982377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9872000217437744,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.978600025177002,"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/skeleton","display_name":"Skeleton (computer programming)","score":0.6874728798866272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6248908042907715},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6141915321350098},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5752997994422913},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5726588368415833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5373313426971436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5000030994415283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4595036208629608},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.42755964398384094},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20728176832199097},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1970023512840271},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.17487448453903198},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1384676992893219}],"concepts":[{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6874728798866272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248908042907715},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6141915321350098},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5752997994422913},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5726588368415833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5373313426971436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5000030994415283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4595036208629608},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.42755964398384094},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20728176832199097},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1970023512840271},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.17487448453903198},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1384676992893219},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3509573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3509573","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1832402564","display_name":null,"funder_award_id":"62362070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3298820994","display_name":null,"funder_award_id":"202401CF070164","funder_id":"https://openalex.org/F4320330387","funder_display_name":"Foundation for Fundamental Research of China"},{"id":"https://openalex.org/G4201522284","display_name":null,"funder_award_id":"52102382","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4308858531","display_name":null,"funder_award_id":"61761046","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/F4320330387","display_name":"Foundation for Fundamental Research of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2559085405","https://openalex.org/W2894873912","https://openalex.org/W2894982307","https://openalex.org/W2896457183","https://openalex.org/W2944006115","https://openalex.org/W2963076818","https://openalex.org/W2963524571","https://openalex.org/W3035374961","https://openalex.org/W3117493944","https://openalex.org/W3179667740","https://openalex.org/W3203634062","https://openalex.org/W4205427072","https://openalex.org/W4281249524","https://openalex.org/W4286242385","https://openalex.org/W4312259618","https://openalex.org/W4312556031","https://openalex.org/W4313417834","https://openalex.org/W4313855698","https://openalex.org/W4319299671","https://openalex.org/W4319299997","https://openalex.org/W4321020774","https://openalex.org/W4327928267","https://openalex.org/W4375869002","https://openalex.org/W4385245566","https://openalex.org/W4385801306","https://openalex.org/W4386065563","https://openalex.org/W4387695265","https://openalex.org/W4388979610","https://openalex.org/W4390659911","https://openalex.org/W4390843873","https://openalex.org/W4390871806","https://openalex.org/W4390872367","https://openalex.org/W4391092724","https://openalex.org/W4391661486","https://openalex.org/W4392543857","https://openalex.org/W4394625734","https://openalex.org/W4396661289","https://openalex.org/W4398151468","https://openalex.org/W6734312481","https://openalex.org/W6767998753","https://openalex.org/W6771932116","https://openalex.org/W6795140394"],"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/W1576128429","https://openalex.org/W4399611050","https://openalex.org/W2269464716","https://openalex.org/W3170431411"],"abstract_inverted_index":{"Recognizing":[0],"novel":[1,27],"actions":[2,24],"based":[3],"on":[4,19,177],"a":[5,12,167],"few":[6],"labeled":[7],"skeleton":[8,173],"sequence":[9,174],"samples":[10,93,131],"is":[11,192],"promising":[13],"field.":[14],"Existing":[15],"works":[16],"primarily":[17],"focus":[18],"global":[20,108],"representations":[21,105,109,129],"of":[22,91,98,103,152,162,188],"similar":[23],"and":[25,34,74,106,127,132,170,182],"designing":[26,53],"metric":[28,56,76,156,164],"functions.":[29],"This":[30,86],"approach":[31],"overlooks":[32],"fine-grained":[33,71,99,104,128],"unique":[35],"characteristics":[36],"within":[37,130],"samples,":[38],"which":[39],"are":[40],"crucial":[41],"for":[42,80],"distinguishing":[43],"subtle":[44],"differences":[45],"between":[46],"actions.":[47],"Moreover,":[48],"as":[49],"the":[50,70,89,96,118,160,178,186],"field":[51],"advances,":[52],"increasingly":[54],"complex":[55],"functions":[57,157,165],"yields":[58],"diminishing":[59],"returns":[60],"in":[61,166],"performance":[62],"improvements.":[63],"To":[64],"address":[65],"these":[66],"issues,":[67],"we":[68,142],"propose":[69],"information":[72,136],"capture":[73,97],"adaptive":[75,145],"aggregation":[77,148],"(FICAMA)":[78],"framework":[79,87],"skeleton-based":[81],"few-shot":[82],"action":[83,113],"recognition":[84],"(FSAR).":[85],"enhances":[88],"self-information":[90],"support":[92],"to":[94,111,123,158],"facilitate":[95],"representations.":[100],"The":[101],"combination":[102],"coarse-grained":[107,126],"contributes":[110],"better":[112],"matching.":[114,175],"We":[115],"then":[116],"employ":[117],"skeletal":[119],"motion":[120],"fusion":[121],"module":[122,149],"spatially":[124],"combine":[125],"introduce":[133],"temporal":[134],"context":[135],"through":[137],"positional":[138],"encoding.":[139],"In":[140],"addition,":[141],"design":[143],"an":[144],"multimetric":[146],"distance":[147],"(AMA)":[150],"capable":[151],"simultaneously":[153],"utilizing":[154],"multiple":[155],"aggregate":[159],"results":[161],"different":[163],"task-adaptive":[168],"manner":[169],"achieve":[171],"high-precision":[172],"Experiments":[176],"NTU":[179],"RGB+D":[180],"120":[181],"Kinetics":[183],"datasets":[184],"demonstrate":[185],"effectiveness":[187],"our":[189],"approach.":[190],"Code":[191],"available":[193],"at":[194],"<uri":[195],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[196],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/jinjinggu00/FICAMA</uri>.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
