{"id":"https://openalex.org/W4313555695","doi":"https://doi.org/10.1109/tmm.2023.3234362","title":"A Novel Action Saliency and Context-Aware Network for Weakly-Supervised Temporal Action Localization","display_name":"A Novel Action Saliency and Context-Aware Network for Weakly-Supervised Temporal Action Localization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313555695","doi":"https://doi.org/10.1109/tmm.2023.3234362"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3234362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3234362","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/A5088805107","display_name":"Yibo Zhao","orcid":"https://orcid.org/0000-0003-4187-1980"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yibo Zhao","raw_affiliation_strings":["Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408716","display_name":"Hua Zhang","orcid":"https://orcid.org/0000-0002-7627-4142"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Zhang","raw_affiliation_strings":["Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048947531","display_name":"Zan Gao","orcid":"https://orcid.org/0000-0003-2182-5741"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zan Gao","raw_affiliation_strings":["Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China","Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]},{"raw_affiliation_string":"Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046676436","display_name":"Wenjie Gao","orcid":"https://orcid.org/0000-0002-0597-6745"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Gao","raw_affiliation_strings":["Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055627037","display_name":"Shengyong Chen","orcid":"https://orcid.org/0000-0002-6705-3831"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyong Chen","raw_affiliation_strings":["Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088805107"],"corresponding_institution_ids":["https://openalex.org/I136765683"],"apc_list":null,"apc_paid":null,"fwci":3.4436,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94074997,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"25","issue":null,"first_page":"8253","last_page":"8266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9765999913215637,"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":0.9718000292778015,"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":0.8309066891670227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6936286091804504},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.675993800163269},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5936684012413025},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5811663866043091},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5370880961418152},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.46065235137939453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4304386377334595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4142618775367737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8309066891670227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6936286091804504},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.675993800163269},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5936684012413025},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5811663866043091},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5370880961418152},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.46065235137939453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4304386377334595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4142618775367737},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3234362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3234362","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":[{"display_name":"No poverty","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G1616174128","display_name":null,"funder_award_id":"62171145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5230037210","display_name":null,"funder_award_id":"61906108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5370040448","display_name":null,"funder_award_id":"92048301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8806062088","display_name":null,"funder_award_id":"61872270","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1783315696","https://openalex.org/W1927052826","https://openalex.org/W2507009361","https://openalex.org/W2597958930","https://openalex.org/W2604113307","https://openalex.org/W2797826601","https://openalex.org/W2884293275","https://openalex.org/W2887783173","https://openalex.org/W2895240652","https://openalex.org/W2962677524","https://openalex.org/W2962709777","https://openalex.org/W2962876901","https://openalex.org/W2963247196","https://openalex.org/W2963524571","https://openalex.org/W2964121718","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W2983918066","https://openalex.org/W2984619425","https://openalex.org/W2986407524","https://openalex.org/W2988098865","https://openalex.org/W2998702159","https://openalex.org/W3002181557","https://openalex.org/W3019723613","https://openalex.org/W3035570025","https://openalex.org/W3035585099","https://openalex.org/W3044063956","https://openalex.org/W3069380482","https://openalex.org/W3095669214","https://openalex.org/W3107322323","https://openalex.org/W3109715102","https://openalex.org/W3110854813","https://openalex.org/W3111420154","https://openalex.org/W3112040205","https://openalex.org/W3120494681","https://openalex.org/W3128880094","https://openalex.org/W3137592945","https://openalex.org/W3138674438","https://openalex.org/W3149230594","https://openalex.org/W3153043989","https://openalex.org/W3173212682","https://openalex.org/W3173459793","https://openalex.org/W3173698268","https://openalex.org/W3173874725","https://openalex.org/W3174421047","https://openalex.org/W3174511093","https://openalex.org/W3176444885","https://openalex.org/W3178036208","https://openalex.org/W3182120198","https://openalex.org/W3203848195","https://openalex.org/W3207172562","https://openalex.org/W3207927851","https://openalex.org/W3214808272","https://openalex.org/W4205415396","https://openalex.org/W4225352246","https://openalex.org/W4226501520","https://openalex.org/W4284965682","https://openalex.org/W4289535637","https://openalex.org/W4304080730","https://openalex.org/W4312383773","https://openalex.org/W4313024697","https://openalex.org/W4313119505","https://openalex.org/W6631190155","https://openalex.org/W6682864246","https://openalex.org/W6760239191","https://openalex.org/W6793520193"],"related_works":["https://openalex.org/W2354322770","https://openalex.org/W3000097931","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W2379407973","https://openalex.org/W4243305035","https://openalex.org/W2912415823"],"abstract_inverted_index":{"Temporal":[0],"action":[1,33,38,92,102,155,166],"localization":[2,39,103],"is":[3,41,112,149],"a":[4,42,90,139,189],"challenging":[5,44],"task":[6,45],"in":[7],"computer":[8],"vision,":[9],"and":[10,18,25,66,94,109,119,125,133,146,158,168,178,188,199,219,235,262,276],"it":[11],"tries":[12],"to":[13,31,47,59,80,114,129,151,174,193],"find":[14],"the":[15,19,23,72,106,116,123,126,131,135,153,161,164,170,180,185,196,211,216,220,232,243,247,266],"start":[16],"time":[17,21],"end":[20],"of":[22,122,163,210,240],"actions":[24,65],"predict":[26],"their":[27],"categories.":[28],"However,":[29],"compared":[30],"temporal":[32,37,101,107],"localization,":[34],"weakly":[35,99],"supervised":[36,100],"(WTAL)":[40],"more":[43],"due":[46],"its":[48],"poor":[49],"annotations.":[50],"With":[51],"only":[52],"video-level":[53],"annotation,":[54],"some":[55],"background":[56,171],"frames,":[57],"similar":[58],"actions,":[60],"would":[61],"be":[62,81],"classified":[63],"as":[64],"produce":[67],"inaccurate":[68],"results.":[69,255],"In":[70,137],"addition,":[71,138],"two-stream":[73,147,176],"fusion":[74,181],"problem,":[75,182],"ignored":[76],"previously,":[77],"also":[78,252],"needs":[79],"further":[82,159],"considered.":[83],"To":[84],"resolve":[85],"these":[86],"issues,":[87],"we":[88,183],"propose":[89],"novel":[91],"saliency":[93,108,118],"context-aware":[95],"network":[96],"(ASCN)":[97],"for":[98],"tasks.":[104],"Specifically,":[105],"context":[110,120,156],"module":[111,192],"designed":[113,150],"enhance":[115,134],"global":[117],"information":[121,157],"RGB":[124,198],"flow":[127,200],"features":[128],"suppress":[130,169],"backgrounds":[132],"actions.":[136],"hybrid":[140],"attention":[141,148],"mechanism":[142],"using":[143],"frame":[144],"differences":[145],"model":[152],"local":[154],"enlarge":[160],"scores":[162],"potential":[165],"regions":[167],"regions.":[172],"Finally,":[173],"obtain":[175,253],"consistency":[177],"solve":[179],"use":[184],"similarity":[186],"loss":[187],"channel":[190],"self-attention":[191],"adaptively":[194],"fuse":[195],"enhanced":[197],"features.":[201],"Extensive":[202],"experiments":[203],"demonstrate":[204],"that":[205,227],"ASCN":[206,250,269],"can":[207,228,251,270],"outperform":[208,271],"all":[209],"SOTA":[212],"WTAL":[213],"methods":[214],"on":[215,231,242,265],"THUMOS14":[217,233,267],"dataset":[218,222,234],"ActivityNet1.3":[221,244],"with":[223,257],"an":[224,237],"average":[225,238],"mAP":[226,239],"reach":[229],"37.2%":[230],"attains":[236],"26.3%":[241],"dataset.":[245],"On":[246],"ActivityNet1.2":[248],"dataset,":[249,268],"comparable":[254],"Compared":[256],"AdapNet":[258],"(TNNLS20),":[259],"MMSD":[260],"(TIP22),":[261],"FTCL":[263],"(CVPR22)":[264],"them":[272],"by":[273],"13.5%,":[274],"2.9%,":[275],"2.8%,":[277],"respectively.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
