{"id":"https://openalex.org/W4403791284","doi":"https://doi.org/10.1145/3664647.3681062","title":"SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition","display_name":"SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791284","doi":"https://doi.org/10.1145/3664647.3681062"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681062","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.16344","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007736553","display_name":"Wenbo Huang","orcid":"https://orcid.org/0000-0002-6664-1172"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbo Huang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436590","display_name":"Jinghui Zhang","orcid":"https://orcid.org/0000-0002-9067-7896"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Zhang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035377745","display_name":"Xuwei Qian","orcid":"https://orcid.org/0000-0002-3321-8327"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuwei Qian","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101327225","display_name":"Zhen Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wu","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377137","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-2293-1709"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076127071","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-8749-7459"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007736553"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":1.4957,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84147952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4572","last_page":"4580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9980999827384949,"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":0.9937000274658203,"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/shot","display_name":"Shot (pellet)","score":0.6837196350097656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6609349250793457},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.603106677532196},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5897805094718933},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5879470109939575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5663244724273682},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5362379550933838},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.46401771903038025},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.41970789432525635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1421809196472168},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09654143452644348},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09528139233589172},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07010751962661743},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.06404849886894226}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6837196350097656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6609349250793457},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.603106677532196},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5897805094718933},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5879470109939575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5663244724273682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5362379550933838},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.46401771903038025},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.41970789432525635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1421809196472168},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09654143452644348},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09528139233589172},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07010751962661743},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.06404849886894226},{"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},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3664647.3681062","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2407.16344","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.16344","pdf_url":"https://arxiv.org/pdf/2407.16344","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.16344","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.16344","pdf_url":"https://arxiv.org/pdf/2407.16344","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2187089797","https://openalex.org/W2507009361","https://openalex.org/W2752782242","https://openalex.org/W2963015194","https://openalex.org/W2963524571","https://openalex.org/W2982190919","https://openalex.org/W3035374961","https://openalex.org/W3041485444","https://openalex.org/W3093455342","https://openalex.org/W3172990466","https://openalex.org/W3173271747","https://openalex.org/W3192801537","https://openalex.org/W3200749679","https://openalex.org/W4226278471","https://openalex.org/W4237044863","https://openalex.org/W4240153047","https://openalex.org/W4285604377","https://openalex.org/W4312259618","https://openalex.org/W4312733400","https://openalex.org/W4382465664","https://openalex.org/W4386065563","https://openalex.org/W4386065787","https://openalex.org/W4387968050","https://openalex.org/W4387968380","https://openalex.org/W4387969214","https://openalex.org/W4388220587","https://openalex.org/W4390872437"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"High":[0],"frame-rate~(HFR)":[1],"videos":[2],"of":[3,21,55,130,135,161,195],"action":[4,42],"recognition":[5],"improve":[6],"fine-grained":[7],"expression":[8],"while":[9],"reducing":[10],"the":[11,189],"spatio-temporal":[12,53,128],"relation":[13,54,129],"and":[14,68,127,183,193],"motion":[15,76,90,140,153],"information":[16,77,91,141,154],"density.":[17],"Thus,":[18],"large":[19],"amounts":[20],"video":[22,56],"samples":[23,32,57],"are":[24,33,132],"continuously":[25],"required":[26],"for":[27,100],"traditional":[28],"data-driven":[29],"training.":[30],"However,":[31],"not":[34],"always":[35],"sufficient":[36],"in":[37,108],"real-world":[38],"scenarios,":[39],"promoting":[40],"few-shot":[41],"recognition~(FSAR)":[43],"research.":[44],"We":[45],"observe":[46],"that":[47],"most":[48],"recent":[49],"FSAR":[50,101],"works":[51],"build":[52],"via":[58,78],"temporal":[59,69],"alignment":[60],"after":[61],"spatial":[62,67],"feature":[63,125,137],"extraction,":[64],"cutting":[65],"apart":[66],"features":[70,131],"within":[71],"samples.":[72],"They":[73],"also":[74,143],"capture":[75],"narrow":[79],"perspectives":[80],"between":[81,123],"adjacent":[82,156],"frames":[83,150],"without":[84],"considering":[85],"density,":[86],"leading":[87],"to":[88,119],"insufficient":[89],"capturing.":[92],"Therefore,":[93],"we":[94,113],"propose":[95],"a":[96,167],"novel":[97],"plug-and-play":[98],"architecture":[99,117],"called":[102],"<u>S</u>patio-temp<u>O</u>ral":[103],"fr<u>A</u>me":[104],"tu<u>P</u>le":[105],"enhancer":[106],"(SOAP)":[107],"this":[109],"paper.":[110],"The":[111,197],"model":[112],"designed":[114],"with":[115,148],"such":[116,178],"refers":[118],"SOAP-Net.":[120],"Temporal":[121],"connections":[122],"different":[124],"channels":[126],"considered":[133],"instead":[134],"simple":[136],"extraction.":[138],"Comprehensive":[139],"is":[142,199],"captured,":[144],"using":[145],"frame":[146,159,163],"tuples":[147,160],"multiple":[149],"containing":[151],"more":[152],"than":[155],"frames.":[157],"Combining":[158],"diverse":[162],"counts":[164],"further":[165],"provides":[166],"broader":[168],"perspective.":[169],"SOAP-Net":[170],"achieves":[171],"new":[172],"state-of-the-art":[173],"performance":[174],"across":[175],"well-known":[176],"benchmarks":[177],"as":[179],"SthSthV2,":[180],"Kinetics,":[181],"UCF101,":[182],"HMDB51.":[184],"Extensive":[185],"empirical":[186],"evaluations":[187],"underscore":[188],"competitiveness,":[190],"pluggability,":[191],"generalization,":[192],"robustness":[194],"SOAP.":[196],"code":[198],"released":[200],"at":[201],"https://github.com/wenbohuang1002/SOAP.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}