{"id":"https://openalex.org/W3001994861","doi":"https://doi.org/10.1109/access.2020.2967627","title":"Weakly Supervised Temporal Action Localization by Multi-Stage Fusion Network","display_name":"Weakly Supervised Temporal Action Localization by Multi-Stage Fusion Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3001994861","doi":"https://doi.org/10.1109/access.2020.2967627","mag":"3001994861"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2967627","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2967627","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08963634.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08963634.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102848878","display_name":"Zhengyang Shen","orcid":"https://orcid.org/0000-0003-3442-6344"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I4210114698","display_name":"Institute of Plasma Physics","ror":"https://ror.org/033cbzv42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210114698"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyang Shen","raw_affiliation_strings":["Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-3442-6344","affiliations":[{"raw_affiliation_string":"Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210114698"]},{"raw_affiliation_string":"Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036997417","display_name":"F. Wang","orcid":"https://orcid.org/0000-0001-8408-0527"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I4210114698","display_name":"Institute of Plasma Physics","ror":"https://ror.org/033cbzv42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210114698"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":["Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8408-0527","affiliations":[{"raw_affiliation_string":"Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210114698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103189403","display_name":"Jin Dai","orcid":"https://orcid.org/0000-0002-1947-7410"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I4210114698","display_name":"Institute of Plasma Physics","ror":"https://ror.org/033cbzv42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210114698"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Dai","raw_affiliation_strings":["Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-1947-7410","affiliations":[{"raw_affiliation_string":"Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210114698"]},{"raw_affiliation_string":"Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3846,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57227613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"17287","last_page":"17298"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.746404767036438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5738150477409363},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5205149054527283},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5098997354507446},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4415547251701355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32075566053390503}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746404767036438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5738150477409363},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5205149054527283},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5098997354507446},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4415547251701355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32075566053390503},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2967627","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2967627","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08963634.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:08a5bcbd62914439aba9ba85cd4ab184","is_oa":true,"landing_page_url":"https://doaj.org/article/08a5bcbd62914439aba9ba85cd4ab184","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 17287-17298 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2967627","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2967627","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08963634.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3001994861.pdf","grobid_xml":"https://content.openalex.org/works/W3001994861.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1533861849","https://openalex.org/W1536680647","https://openalex.org/W1947481528","https://openalex.org/W1983705368","https://openalex.org/W2016053056","https://openalex.org/W2096733369","https://openalex.org/W2102605133","https://openalex.org/W2105101328","https://openalex.org/W2131042978","https://openalex.org/W2156303437","https://openalex.org/W2507009361","https://openalex.org/W2519328139","https://openalex.org/W2531897166","https://openalex.org/W2550143307","https://openalex.org/W2564247857","https://openalex.org/W2593722617","https://openalex.org/W2597655663","https://openalex.org/W2597958930","https://openalex.org/W2604113307","https://openalex.org/W2607566495","https://openalex.org/W2751832138","https://openalex.org/W2755876276","https://openalex.org/W2766402183","https://openalex.org/W2813911573","https://openalex.org/W2884293275","https://openalex.org/W2884969173","https://openalex.org/W2893390896","https://openalex.org/W2895240652","https://openalex.org/W2948229620","https://openalex.org/W2950534130","https://openalex.org/W2962677524","https://openalex.org/W2962709777","https://openalex.org/W2962876901","https://openalex.org/W2963045696","https://openalex.org/W2963247196","https://openalex.org/W2963524571","https://openalex.org/W2963645879","https://openalex.org/W2963934593","https://openalex.org/W2964008341","https://openalex.org/W2964107628","https://openalex.org/W2964121718","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W2971032914","https://openalex.org/W2979887196","https://openalex.org/W3100481960","https://openalex.org/W6631943919","https://openalex.org/W6682864246","https://openalex.org/W6724944384","https://openalex.org/W6726711304","https://openalex.org/W6735377749","https://openalex.org/W6737159596","https://openalex.org/W6751389191","https://openalex.org/W6753013641","https://openalex.org/W6753943344","https://openalex.org/W6755131278","https://openalex.org/W6755209196","https://openalex.org/W6765575767"],"related_works":["https://openalex.org/W2503350049","https://openalex.org/W2329386257","https://openalex.org/W2397616145","https://openalex.org/W2397320258","https://openalex.org/W4324058133","https://openalex.org/W648618910","https://openalex.org/W4296658948","https://openalex.org/W3167355683","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Most":[0],"temporal":[1,28,52],"action":[2,29,53,58,92,106,122,132,147,154,171,181,186,194],"localization":[3,30],"methods":[4,31,211],"are":[5,15,39],"usually":[6],"trained":[7],"using":[8],"video":[9],"data-sets":[10,200],"with":[11,188],"frame-wise":[12],"annotations":[13,36],"which":[14,32,77],"expensive":[16],"and":[17,60,91,116,183,202,212],"time-consuming":[18],"to":[19,103,226],"acquire.":[20],"To":[21,164],"alleviate":[22,165],"this":[23,42],"problem,":[24],"many":[25],"weakly":[26,50],"supervised":[27,51],"only":[33],"leverage":[34],"video-level":[35],"during":[37],"training":[38],"proposed.":[40],"In":[41],"paper,":[43],"we":[44,68,168],"first":[45],"analyze":[46],"three":[47,66,82],"problems":[48,80],"of":[49,120,136,176],"localization,":[54],"namely":[55,88],"feature":[56,96,114,129],"similarity,":[57,97],"completeness,":[59,133],"weak":[61,166],"annotation.":[62],"Based":[63],"on":[64,199,219],"these":[65],"problems,":[67],"propose":[69],"a":[70,98],"novel":[71],"network":[72,178],"called":[73],"multi-stage":[74,174],"fusion":[75],"network,":[76,87],"decomposes":[78],"the":[79,86,105,109,118,121,128,137,142,153,161,177,180,185,209,213],"into":[81],"different":[83,125,143],"modules":[84],"within":[85],"feature,":[89],"sub-action,":[90],"modules.":[93],"Specifically,":[94],"for":[95],"Triplet":[99],"Loss":[100],"was":[101],"introduced":[102],"ensure":[104],"instances":[107,148],"from":[108,124,160,173,224],"same":[110],"class":[111],"having":[112],"similar":[113],"sequences":[115],"expand":[117],"margin":[119],"instance":[123],"classes":[126],"in":[127,152,179],"module.":[130,163],"For":[131],"each":[134],"stage":[135],"sub-action":[138,162],"module":[139,155,182],"can":[140,149],"discover":[141],"sub-actions.":[144],"The":[145],"complete":[146],"be":[150],"localized":[151],"by":[156],"fusing":[157],"multiple":[158,170],"sub-actions":[159],"annotation,":[167],"localize":[169],"proposals":[172,187],"outputs":[175],"select":[184],"higher":[189],"confidence":[190],"scores":[191],"as":[192],"predicted":[193],"instances.":[195],"Extensive":[196],"experiment":[197],"results":[198],"Thumos'14":[201,220],"ActivityNet1.2":[203],"demonstrate":[204],"that":[205],"our":[206],"method":[207],"outperforms":[208],"state-of-the-art":[210],"average":[214],"mean":[215],"Average":[216],"Precision":[217],"(mAP)":[218],"is":[221],"significantly":[222],"improved":[223],"40.9%":[225],"43.3%.":[227]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
