{"id":"https://openalex.org/W4390187197","doi":"https://doi.org/10.1109/tmm.2023.3338084","title":"Dual Masked Modeling for Weakly-Supervised Temporal Boundary Discovery","display_name":"Dual Masked Modeling for Weakly-Supervised Temporal Boundary Discovery","publication_year":2023,"publication_date":"2023-12-25","ids":{"openalex":"https://openalex.org/W4390187197","doi":"https://doi.org/10.1109/tmm.2023.3338084"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3338084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3338084","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/A5057007383","display_name":"Yuer Ma","orcid":"https://orcid.org/0000-0002-1760-0737"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuer Ma","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1760-0737","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467421","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-4727-0572"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4727-0572","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436505","display_name":"Limin Wang","orcid":"https://orcid.org/0000-0002-3674-7718"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Wang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3674-7718","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089840086","display_name":"Wenxiong Kang","orcid":"https://orcid.org/0000-0001-9023-7252"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiong Kang","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9023-7252","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748135","display_name":"Yu Qiao","orcid":"https://orcid.org/0000-0002-1889-2567"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Qiao","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1889-2567","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100335705","display_name":"Yali Wang","orcid":"https://orcid.org/0000-0002-2999-7428"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yali Wang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2999-7428","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5318,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67892378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"26","issue":null,"first_page":"5694","last_page":"5704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9977999925613403,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.817891001701355},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.582661509513855},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5794380307197571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5644769072532654},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5134063959121704},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47569310665130615},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.47419410943984985},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4732297658920288},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.416192889213562},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3442472815513611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.817891001701355},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.582661509513855},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5794380307197571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5644769072532654},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5134063959121704},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47569310665130615},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.47419410943984985},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4732297658920288},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.416192889213562},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3442472815513611},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3338084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3338084","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":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G3908541760","display_name":null,"funder_award_id":"2020355","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522734439","https://openalex.org/W1927052826","https://openalex.org/W2250539671","https://openalex.org/W2336403884","https://openalex.org/W2593722617","https://openalex.org/W2604113307","https://openalex.org/W2766402183","https://openalex.org/W2796869301","https://openalex.org/W2884293275","https://openalex.org/W2895240652","https://openalex.org/W2948229620","https://openalex.org/W2952435096","https://openalex.org/W2962677524","https://openalex.org/W2962709777","https://openalex.org/W2962876901","https://openalex.org/W2963247196","https://openalex.org/W2963321993","https://openalex.org/W2963393391","https://openalex.org/W2963524571","https://openalex.org/W2963662190","https://openalex.org/W2963916161","https://openalex.org/W2964089981","https://openalex.org/W2964216549","https://openalex.org/W2964274041","https://openalex.org/W2970898753","https://openalex.org/W2983918066","https://openalex.org/W2986407524","https://openalex.org/W2990503944","https://openalex.org/W2994508843","https://openalex.org/W2997429269","https://openalex.org/W2998355566","https://openalex.org/W2998702159","https://openalex.org/W3010995953","https://openalex.org/W3034743747","https://openalex.org/W3086629156","https://openalex.org/W3093051565","https://openalex.org/W3093471110","https://openalex.org/W3100481960","https://openalex.org/W3106041614","https://openalex.org/W3109715102","https://openalex.org/W3109986575","https://openalex.org/W3120889656","https://openalex.org/W3128626728","https://openalex.org/W3130619535","https://openalex.org/W3174511093","https://openalex.org/W3175817778","https://openalex.org/W3176444885","https://openalex.org/W3178036208","https://openalex.org/W3186567887","https://openalex.org/W3203848195","https://openalex.org/W3210101297","https://openalex.org/W4200630755","https://openalex.org/W4220695826","https://openalex.org/W4221167396","https://openalex.org/W4225547367","https://openalex.org/W4283814553","https://openalex.org/W4292092982","https://openalex.org/W4307838488","https://openalex.org/W4312402470","https://openalex.org/W4312421085","https://openalex.org/W4312508181","https://openalex.org/W4364360911","https://openalex.org/W6749876669","https://openalex.org/W6761423549","https://openalex.org/W6774695144","https://openalex.org/W6810265253"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297"],"abstract_inverted_index":{"Discovering":[0],"temporal":[1,11,45,77,110,182,198],"boundary":[2,21,78],"is":[3,50],"critical":[4],"for":[5,195],"untrimmed":[6],"video":[7,158],"tasks,":[8],"such":[9,145],"as":[10],"sentence":[12],"grounding":[13,167,199],"and":[14,47,101,160,168,189,200,203],"action":[15,35],"detection.":[16],"Due":[17],"to":[18,43,75,165],"the":[19,23,28,38,85,113,120,127,134,142,157,161,180],"labor-intensive":[20],"annotations,":[22],"recent":[24],"studies":[25],"focus":[26],"on":[27,179],"weakly-supervised":[29,54,197],"setting,":[30],"with":[31,123,138],"only":[32],"sentences":[33],"or":[34],"tags":[36],"in":[37,52,84,170],"training":[39],"videos.":[40],"However,":[41],"how":[42],"align":[44],"boundaries":[46],"textual":[48],"descriptions":[49],"problematic":[51],"most":[53],"approaches.":[55],"To":[56],"alleviate":[57],"this":[58],"difficulty,":[59],"we":[60,89,118,132,175],"propose":[61],"a":[62,109,171],"novel":[63],"Dual":[64],"Masked":[65,97,103],"Modeling":[66,99,105],"(DM2)":[67],"framework,":[68],"which":[69],"can":[70,151],"effectively":[71],"enhance":[72],"clip-text":[73],"alignment":[74],"boost":[76],"discovery,":[79],"by":[80],"cross-modal":[81],"masked":[82,121,135],"modeling":[83],"dual":[86],"fashion.":[87],"Specifically,":[88],"introduce":[90],"two":[91],"coupled":[92],"reconstruction":[93,147],"branches,":[94],"i.e.,":[95,184],"Clip-Aware":[96],"Text":[98],"(C-MTM),":[100],"Text-Aware":[102],"Clip":[104],"(T-MCM),":[106],"after":[107],"generating":[108],"proposal":[111,137],"of":[112,126,141],"underlying":[114],"clip.":[115],"In":[116,130],"C-MTM,":[117],"recover":[119,133],"text":[122],"visual":[124],"assistance":[125,140],"clip":[128,136,159],"proposal.":[129],"T-MCM,":[131],"lingual":[139],"text.":[143],"Via":[144],"complementary":[146],"supervision,":[148],"our":[149],"DM2":[150,192],"cooperatively":[152],"exploit":[153],"robust":[154],"matching":[155],"between":[156],"referred":[162],"text,":[163],"allowing":[164],"unify":[166],"localization":[169],"concise":[172],"manner.":[173],"Finally,":[174],"perform":[176],"extensive":[177],"experiments":[178],"popular":[181],"benchmarks,":[183],"Charades-STA,":[185],"ActivityNet":[186],"Captions,":[187],"ActivityNet-v1.3":[188],"THUMOS-14.":[190],"Our":[191],"achieves":[193],"state-of-the-art":[194],"both":[196],"localization.":[201],"Codes":[202],"models":[204],"will":[205],"be":[206],"released":[207],"afterward.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}