{"id":"https://openalex.org/W4226523678","doi":"https://doi.org/10.1109/tmm.2022.3163459","title":"Superframe-Based Temporal Proposals for Weakly Supervised Temporal Action Detection","display_name":"Superframe-Based Temporal Proposals for Weakly Supervised Temporal Action Detection","publication_year":2022,"publication_date":"2022-03-30","ids":{"openalex":"https://openalex.org/W4226523678","doi":"https://doi.org/10.1109/tmm.2022.3163459"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3163459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3163459","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5102929978","display_name":"Bairong Li","orcid":"https://orcid.org/0000-0002-5060-0229"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bairong Li","raw_affiliation_strings":["Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5060-0229","affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021302591","display_name":"Biao Guo","orcid":"https://orcid.org/0000-0002-4366-0848"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Guo","raw_affiliation_strings":["Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4366-0848","affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056706680","display_name":"Yuesheng Zhu","orcid":"https://orcid.org/0000-0003-2524-6800"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuesheng Zhu","raw_affiliation_strings":["Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2524-6800","affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886607","display_name":"Jianfeng Yin","orcid":"https://orcid.org/0000-0002-5887-446X"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Yin","raw_affiliation_strings":["Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044133664","display_name":"Xiangli Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangli Ji","raw_affiliation_strings":["Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210128628"],"apc_list":null,"apc_paid":null,"fwci":0.3915,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.567169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"25","issue":null,"first_page":"3628","last_page":"3641"},"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":0.979200005531311,"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7757928371429443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006118655204773},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5536348819732666},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5516489744186401},{"id":"https://openalex.org/keywords/superframe","display_name":"Superframe","score":0.5178561210632324},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5046230554580688},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48497915267944336},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4661281108856201},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4404003918170929},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37295806407928467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34316718578338623},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.23075062036514282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757928371429443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006118655204773},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5536348819732666},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5516489744186401},{"id":"https://openalex.org/C137607620","wikidata":"https://www.wikidata.org/wiki/Q7643384","display_name":"Superframe","level":3,"score":0.5178561210632324},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5046230554580688},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48497915267944336},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4661281108856201},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4404003918170929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37295806407928467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34316718578338623},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.23075062036514282},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3163459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3163459","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1900913856","https://openalex.org/W1927052826","https://openalex.org/W1999478155","https://openalex.org/W2033740597","https://openalex.org/W2089345624","https://openalex.org/W2118246710","https://openalex.org/W2142194269","https://openalex.org/W2293105860","https://openalex.org/W2336403884","https://openalex.org/W2508191294","https://openalex.org/W2535977253","https://openalex.org/W2585293115","https://openalex.org/W2593722617","https://openalex.org/W2597958930","https://openalex.org/W2604113307","https://openalex.org/W2755876276","https://openalex.org/W2766402183","https://openalex.org/W2778867171","https://openalex.org/W2884293275","https://openalex.org/W2890144450","https://openalex.org/W2895240652","https://openalex.org/W2898226671","https://openalex.org/W2913950831","https://openalex.org/W2916649786","https://openalex.org/W2920182456","https://openalex.org/W2948229620","https://openalex.org/W2950534130","https://openalex.org/W2962677524","https://openalex.org/W2962709777","https://openalex.org/W2962758679","https://openalex.org/W2962876901","https://openalex.org/W2963045696","https://openalex.org/W2963155035","https://openalex.org/W2963247196","https://openalex.org/W2963315828","https://openalex.org/W2963321993","https://openalex.org/W2963795951","https://openalex.org/W2964008341","https://openalex.org/W2964036161","https://openalex.org/W2964107628","https://openalex.org/W2964182680","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W2981998043","https://openalex.org/W2984478308","https://openalex.org/W2984619425","https://openalex.org/W2986407524","https://openalex.org/W2988098865","https://openalex.org/W2989042503","https://openalex.org/W2996173702","https://openalex.org/W2998702159","https://openalex.org/W3009148386","https://openalex.org/W3010504658","https://openalex.org/W3035524964","https://openalex.org/W3035585099","https://openalex.org/W3100481960","https://openalex.org/W3103081334","https://openalex.org/W3103307342","https://openalex.org/W3173698268","https://openalex.org/W3174569083","https://openalex.org/W3176641851","https://openalex.org/W4301963599","https://openalex.org/W6724997344","https://openalex.org/W6760239191"],"related_works":["https://openalex.org/W2887829875","https://openalex.org/W4256241842","https://openalex.org/W3208412627","https://openalex.org/W4253089905","https://openalex.org/W3121784021","https://openalex.org/W4220929573","https://openalex.org/W3115666762","https://openalex.org/W115748697","https://openalex.org/W3014716511","https://openalex.org/W1664511514"],"abstract_inverted_index":{"The":[0],"weakly":[1,24],"supervised":[2,25],"Temporal":[3,62],"Action":[4],"Detection":[5],"(TAD)":[6],"by":[7],"using":[8],"the":[9,14,20,33,40,60,89,94,98,105,110,126,143,194,201],"video-level":[10],"annotations":[11],"can":[12,162],"lighten":[13],"burden":[15],"of":[16,32,52,76,91,112,125,203],"labor":[17],"consumption.":[18],"However,":[19],"current":[21],"methods":[22],"for":[23,72,185],"TAD":[26],"do":[27],"not":[28],"take":[29],"full":[30],"advantage":[31],"short-term":[34],"consistency":[35,82],"between":[36],"consecutive":[37,77,107],"frames":[38,78,92],"and":[39,83,109,137,183,207],"long-term":[41],"continuity":[42,145],"inside":[43,146],"an":[44],"action,":[45],"resulting":[46],"in":[47,54,67,170],"less":[48],"accurate":[49],"detecting":[50],"boundaries":[51,202],"actions":[53,166,204],"untrimmed":[55,172],"videos.":[56],"In":[57],"this":[58],"paper,":[59],"SuperFrame-based":[61],"Proposal":[63],"(SFTP)":[64],"is":[65,101,138,156,197],"proposed,":[66],"which":[68,161],"superframes":[69,108],"are":[70,86,115,176],"formed":[71,133],"representing":[73],"a":[74,118,147,150],"series":[75],"with":[79,167,215],"high":[80],"temporal":[81,99,144],"their":[84],"features":[85,90,111,132,136],"pooled":[87],"from":[88,117,134],"through":[93],"integration":[95],"function.":[96],"Then,":[97],"proposal":[100],"built":[102],"based":[103],"on":[104,178],"multiple":[106,165],"all":[113],"proposals":[114],"generated":[116],"pyramidal":[119],"feature":[120],"hierarchy.":[121],"This":[122],"hierarchy":[123],"consists":[124],"designed":[127],"Structured":[128],"Outer-Inner":[129],"Context":[130],"(SOIC)":[131],"superframe":[135],"able":[139,198],"to":[140,158,199],"explicitly":[141],"characterize":[142],"proposal.":[148],"Furthermore,":[149],"novel":[151],"Scale-Wise":[152],"Normalization":[153],"Strategy":[154],"(SWNS)":[155],"proposed":[157,195],"identify":[159],"proposals,":[160],"effectively":[163,206],"detect":[164,200],"different":[168],"duration":[169],"one":[171],"video.":[173],"Extensive":[174],"experiments":[175],"conducted":[177],"two":[179],"public":[180],"datasets:":[181],"THUMOS14":[182],"ActivityNet1.2":[184],"performance":[186],"evaluation.":[187],"Our":[188],"experimental":[189],"results":[190],"have":[191],"demonstrated":[192],"that":[193],"approach":[196],"more":[205],"obtain":[208],"competitive":[209],"mAP":[210],"(mean":[211],"average":[212],"precision)":[213],"compared":[214],"other":[216],"approaches.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
