{"id":"https://openalex.org/W2950534130","doi":"https://doi.org/10.1109/tip.2019.2922108","title":"Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization","display_name":"Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization","publication_year":2019,"publication_date":"2019-06-17","ids":{"openalex":"https://openalex.org/W2950534130","doi":"https://doi.org/10.1109/tip.2019.2922108","mag":"2950534130","pmid":"https://pubmed.ncbi.nlm.nih.gov/31217119"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2922108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2922108","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5018498977","display_name":"Runhao Zeng","orcid":"https://orcid.org/0000-0001-8694-4245"},"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":"Runhao Zeng","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8694-4245","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040877128","display_name":"Chuang Gan","orcid":"https://orcid.org/0000-0003-4031-5886"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuang Gan","raw_affiliation_strings":["MIT-IBM Watson AI Lab, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4031-5886","affiliations":[{"raw_affiliation_string":"MIT-IBM Watson AI Lab, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004837552","display_name":"Peihao Chen","orcid":"https://orcid.org/0000-0002-6847-1621"},"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":"Peihao Chen","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6847-1621","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032642601","display_name":"Wenbing Huang","orcid":"https://orcid.org/0000-0002-2566-4159"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbing Huang","raw_affiliation_strings":["Tencent AI Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2566-4159","affiliations":[{"raw_affiliation_string":"Tencent AI Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023130798","display_name":"Qingyao Wu","orcid":"https://orcid.org/0000-0002-6771-3932"},"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":"Qingyao Wu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6771-3932","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032352025","display_name":"Mingkui Tan","orcid":"https://orcid.org/0000-0001-8856-756X"},"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":"Mingkui Tan","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8856-756X","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.0722,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.98216154,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"28","issue":"12","first_page":"5797","last_page":"5808"},"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":0.9994000196456909,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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/iterative-method","display_name":"Iterative method","score":0.5722146034240723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5584594011306763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5404471158981323},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5051735043525696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41100630164146423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3854905664920807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35903555154800415},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12783583998680115}],"concepts":[{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5722146034240723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5584594011306763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5404471158981323},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5051735043525696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41100630164146423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3854905664920807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35903555154800415},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12783583998680115},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2922108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2922108","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:31217119","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31217119","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1352119025","display_name":null,"funder_award_id":"61602185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4000485976","display_name":null,"funder_award_id":"201806010081","funder_id":"https://openalex.org/F4320326444","funder_display_name":"Nova"},{"id":"https://openalex.org/G4242704309","display_name":"\u57fa\u4e8e\u5728\u7ebf\u5b66\u4e60\u4e0e\u8bc4\u4f30\u7684\u667a\u80fd\u8111\u673a\u5171\u4eab\u63a7\u5236\u6280\u672f\u4e0e\u5eb7\u590d\u5e94\u7528\u7814\u7a76","funder_award_id":"61836003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8057997982","display_name":null,"funder_award_id":"61876208","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"},{"id":"https://openalex.org/F4320326444","display_name":"Nova","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1578985305","https://openalex.org/W1836465849","https://openalex.org/W1900913856","https://openalex.org/W1927052826","https://openalex.org/W1934621328","https://openalex.org/W2108598243","https://openalex.org/W2131042978","https://openalex.org/W2147800946","https://openalex.org/W2152795302","https://openalex.org/W2156303437","https://openalex.org/W2199385431","https://openalex.org/W2248800885","https://openalex.org/W2292288263","https://openalex.org/W2295107390","https://openalex.org/W2342776425","https://openalex.org/W2463824207","https://openalex.org/W2469228190","https://openalex.org/W2507009361","https://openalex.org/W2508191294","https://openalex.org/W2529163075","https://openalex.org/W2593722617","https://openalex.org/W2597655663","https://openalex.org/W2600144439","https://openalex.org/W2604113307","https://openalex.org/W2606831796","https://openalex.org/W2619947201","https://openalex.org/W2689607630","https://openalex.org/W2798271879","https://openalex.org/W2799263800","https://openalex.org/W2883915488","https://openalex.org/W2893390896","https://openalex.org/W2898553394","https://openalex.org/W2923549568","https://openalex.org/W2962709777","https://openalex.org/W2962899219","https://openalex.org/W2963045696","https://openalex.org/W2963058520","https://openalex.org/W2963094099","https://openalex.org/W2963216700","https://openalex.org/W2963247196","https://openalex.org/W2963321993","https://openalex.org/W2963386218","https://openalex.org/W2963403868","https://openalex.org/W2963441581","https://openalex.org/W2963524571","https://openalex.org/W2963603913","https://openalex.org/W2964008341","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W4385245566","https://openalex.org/W6634902294","https://openalex.org/W6638667902","https://openalex.org/W6682864246","https://openalex.org/W6687880102","https://openalex.org/W6724944384","https://openalex.org/W6724997344","https://openalex.org/W6735377749","https://openalex.org/W6739901393","https://openalex.org/W6755034786","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,17,27,58,71,79,88,95,116,122,129,143,147,158,179,190],"challenging":[3],"problem":[4],"of":[5],"weakly":[6,32,192],"supervised":[7,33,193],"temporal":[8],"action":[9,19,61,131,161],"localization":[10,139],"from":[11,150,200],"unconstrained":[12],"web":[13],"videos,":[14],"where":[15],"only":[16,115],"video-level":[18,210],"labels":[20],"are":[21,168],"available":[22],"during":[23],"training.":[24],"Inspired":[25],"by":[26],"adversarial":[28],"erasing":[29],"strategy":[30],"in":[31,63,70,133],"semantic":[34],"segmentation,":[35],"we":[36,43,48,135],"propose":[37,49],"a":[38,137],"novel":[39],"iterative-winners-out":[40],"network.":[41],"Specifically,":[42],"make":[44],"two":[45,165],"technical":[46],"contributions:":[47],"an":[50,171],"iterative":[51,76],"training":[52,65,73],"strategy,":[53,107],"namely,":[54],"winners-out,":[55,134],"to":[56,86,94,112,156,174,202,217],"select":[57,128],"most":[59,117,159],"discriminative":[60,102,118,124,160],"instances":[62,119,132,162],"each":[64],"iteration":[66],"and":[67,146,197],"remove":[68],"them":[69],"next":[72],"iteration.":[74],"This":[75],"process":[77],"alleviates":[78],"\"winner-takes-all\"":[80],"phenomenon":[81],"that":[82,91,186],"existing":[83],"approaches":[84,194],"tend":[85],"choose":[87],"video":[89,96,103],"segments":[90],"strongly":[92],"correspond":[93],"label":[97],"but":[98,120],"neglects":[99],"other":[100],"less":[101,123],"segments.":[104],"With":[105],"this":[106],"our":[108,152,187,212],"network":[109,173],"is":[110,154],"able":[111,155],"localize":[113,175],"not":[114],"also":[121],"ones.":[125],"To":[126],"better":[127],"target":[130],"devise":[136],"class-discriminative":[138],"technique.":[140],"By":[141],"employing":[142,219],"attention":[144],"mechanism":[145],"information":[148],"learned":[149],"data,":[151],"technique":[153],"identify":[157],"effectively.":[163],"The":[164],"key":[166],"components":[167],"integrated":[169],"into":[170],"end-to-end":[172],"actions":[176],"without":[177],"using":[178],"frame-level":[180,220],"annotations.":[181],"Extensive":[182],"experimental":[183],"results":[184],"demonstrate":[185],"method":[188,213],"outperforms":[189],"state-of-the-art":[191],"on":[195,204],"ActivityNet1.3":[196],"improves":[198],"mAP":[199],"16.9%":[201],"20.5%":[203],"THUMOS14.":[205],"Notably,":[206],"even":[207],"with":[208],"weak":[209],"supervision,":[211],"attains":[214],"comparable":[215],"accuracy":[216],"those":[218],"supervisions.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":6}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}