{"id":"https://openalex.org/W4200634873","doi":"https://doi.org/10.1109/cvpr52688.2022.01939","title":"Everything at Once \u2013 Multi-modal Fusion Transformer for Video Retrieval","display_name":"Everything at Once \u2013 Multi-modal Fusion Transformer for Video Retrieval","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4200634873","doi":"https://doi.org/10.1109/cvpr52688.2022.01939"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52688.2022.01939","doi":"https://doi.org/10.1109/cvpr52688.2022.01939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52688.2022.01939","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2112.04446","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035348561","display_name":"Nina Shvetsova","orcid":"https://orcid.org/0000-0003-0910-188X","observed_orcids":["https://orcid.org/0000-0003-0910-188X"]},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nina Shvetsova","raw_affiliation_strings":["Goethe University Frankfurt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Goethe University Frankfurt","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Brian Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Chen","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010091252","display_name":"Andrew Rouditchenko","orcid":"https://orcid.org/0000-0002-0063-3612","observed_orcids":["https://orcid.org/0000-0002-0063-3612"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Rouditchenko","raw_affiliation_strings":["MIT CSAIL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101787514","display_name":"Samuel Thomas","orcid":"https://orcid.org/0000-0001-7573-0620","observed_orcids":["https://orcid.org/0000-0001-7573-0620"]},"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":"Samuel Thomas","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003725957","display_name":"Brian E. D. Kingsbury","orcid":"https://orcid.org/0000-0002-1343-6837","observed_orcids":["https://orcid.org/0000-0002-1343-6837"]},"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":"Brian Kingsbury","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052325109","display_name":"Rog\u00e9rio Feris","orcid":"https://orcid.org/0000-0001-6399-0679","observed_orcids":["https://orcid.org/0000-0001-6399-0679"]},"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":"Rogerio Feris","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004717608","display_name":"David F. Harwath","orcid":"https://orcid.org/0000-0003-0206-0253","observed_orcids":["https://orcid.org/0000-0003-0206-0253"]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Harwath","raw_affiliation_strings":["UT Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UT Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112758056","display_name":"James Robert Glass","orcid":"https://orcid.org/0000-0002-3097-360X","observed_orcids":["https://orcid.org/0000-0002-3097-360X"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Glass","raw_affiliation_strings":["MIT CSAIL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011795407","display_name":"Hilde Kuehne","orcid":"https://orcid.org/0000-0003-1079-4441","observed_orcids":["https://orcid.org/0000-0003-1079-4441"]},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hilde Kuehne","raw_affiliation_strings":["Goethe University Frankfurt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Goethe University Frankfurt","institution_ids":["https://openalex.org/I114090438"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.0597,"has_fulltext":true,"cited_by_count":155,"citation_normalized_percentile":{"value":0.98660493,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"19988","last_page":"19997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9980000257492065,"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":0.9980000257492065,"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":0.0007999999797903001,"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/T11439","display_name":"Video Analysis and Summarization","score":0.0003000000142492354,"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/multimodal-fusion","display_name":"multimodal fusion","score":0.8679999709129333},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.5699999928474426},{"id":"https://openalex.org/keywords/video-retrieval","display_name":"video retrieval","score":0.8450000286102295},{"id":"https://openalex.org/keywords/zero-shot-retrieval","display_name":"zero-shot retrieval","score":0.871999979019165},{"id":"https://openalex.org/keywords/multimodal-embeddings","display_name":"multimodal embeddings","score":0.6880000233650208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.773041844367981},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6434955596923828},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6378195881843567},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6245983839035034},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6132380962371826},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6029642224311829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5230209231376648},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4566880464553833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33887380361557007},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr52688.2022.01939","doi":"https://doi.org/10.1109/cvpr52688.2022.01939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52688.2022.01939","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2112.04446","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.04446","pdf_url":"https://arxiv.org/pdf/2112.04446","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2112.04446","doi":"https://doi.org/10.48550/arxiv.2112.04446","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2112.04446","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2112.04446","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.04446","pdf_url":"https://arxiv.org/pdf/2112.04446","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320323366","display_name":"Goethe-Universit\u00e4t Frankfurt am Main","ror":"https://ror.org/04cvxnb49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200634873.pdf","grobid_xml":"https://content.openalex.org/works/W4200634873.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2405756170","https://openalex.org/W2425121537","https://openalex.org/W2544224704","https://openalex.org/W2619082050","https://openalex.org/W2619697695","https://openalex.org/W2623327532","https://openalex.org/W2626778328","https://openalex.org/W2626792426","https://openalex.org/W2706729717","https://openalex.org/W2796315435","https://openalex.org/W2883429621","https://openalex.org/W2885775891","https://openalex.org/W2886641317","https://openalex.org/W2896457183","https://openalex.org/W2923016229","https://openalex.org/W2948721154","https://openalex.org/W2948859046","https://openalex.org/W2952132648","https://openalex.org/W2962934715","https://openalex.org/W2963115079","https://openalex.org/W2963341956","https://openalex.org/W2963807156","https://openalex.org/W2963902314","https://openalex.org/W2964121744","https://openalex.org/W2990408345","https://openalex.org/W2999292795","https://openalex.org/W3002552512","https://openalex.org/W3009205145","https://openalex.org/W3009380496","https://openalex.org/W3015371781","https://openalex.org/W3034875620","https://openalex.org/W3034978279","https://openalex.org/W3035265375","https://openalex.org/W3035635319","https://openalex.org/W3037932933","https://openalex.org/W3043840704","https://openalex.org/W3048939150","https://openalex.org/W3090449556","https://openalex.org/W3092470998","https://openalex.org/W3094502228","https://openalex.org/W3100177202","https://openalex.org/W3127270383","https://openalex.org/W3135367836","https://openalex.org/W3150558292","https://openalex.org/W3158986867","https://openalex.org/W3167366812","https://openalex.org/W3168640669","https://openalex.org/W3173220247","https://openalex.org/W3174873881","https://openalex.org/W3176398504","https://openalex.org/W3176445421","https://openalex.org/W3190965961","https://openalex.org/W3204588463","https://openalex.org/W3212014628","https://openalex.org/W3214370733","https://openalex.org/W3215249246","https://openalex.org/W4225690873","https://openalex.org/W4285606530","https://openalex.org/W4297808394","https://openalex.org/W4388979610","https://openalex.org/W4394659899","https://openalex.org/W6793759846"],"related_works":["https://openalex.org/W3043840704","https://openalex.org/W4221154437","https://openalex.org/W3154596443","https://openalex.org/W4292217195","https://openalex.org/W7214934495","https://openalex.org/W7162580256","https://openalex.org/W7071335102","https://openalex.org/W3158986867","https://openalex.org/W4221139500","https://openalex.org/W4378373533"],"abstract_inverted_index":{"Multi-modal":[0],"learning":[1],"from":[2],"video":[3,168,172],"data":[4],"has":[5],"seen":[6],"increased":[7],"attention":[8],"recently":[9],"as":[10,49,88,91,93,103],"it":[11],"allows":[12],"training":[13],"of":[14,84,95,120,127,134],"semantically":[15],"meaningful":[16],"embeddings":[17],"without":[18],"human":[19],"annotation,":[20],"enabling":[21],"tasks":[22],"like":[23],"zero-shot":[24,167,171],"retrieval":[25,169],"and":[26,52,54,116,152,170],"action":[27,173],"localization.":[28,174],"In":[29],"this":[30,178],"work,":[31],"we":[32,142],"present":[33],"a":[34,58,62,74],"multi-modal,":[35],"modality":[36,106],"agnostic":[37],"fusion":[38],"transformer":[39,129],"that":[40],"learns":[41],"to":[42,69,131],"exchange":[43],"information":[44],"between":[45],"multiple":[46],"modalities,":[47,86,96],"such":[48,87,102],"video,":[50],"audio,":[51],"text,":[53],"integrate":[55],"them":[56],"into":[57],"fused":[59],"representation":[60],"in":[61,166],"joined":[63],"multi-modal":[64],"embedding":[65,156],"space.":[66],"We":[67],"propose":[68],"train":[70,143],"the":[71,111,124,128,139,144,147,154],"system":[72],"with":[73],"combinatorial":[75],"loss":[76],"on":[77,146,158],"everything":[78],"at":[79],"once":[80],"\u2013":[81],"any":[82,100,118],"combination":[83],"input":[85,121],"single":[89],"modalities":[90],"well":[92],"pairs":[94],"explicitly":[97],"leaving":[98],"out":[99],"add-ons":[101],"position":[104],"or":[105],"encoding.":[107],"At":[108],"test":[109],"time,":[110],"resulting":[112,155],"model":[113,145],"can":[114],"process":[115,132],"fuse":[117],"number":[119],"modalities.":[122],"Moreover,":[123],"implicit":[125],"properties":[126],"allow":[130],"inputs":[133],"different":[135],"lengths.":[136],"To":[137],"evaluate":[138,153],"proposed":[140],"approach,":[141],"large":[148],"scale":[149],"HowTo100M":[150],"dataset":[151],"space":[157],"four":[159],"challenging":[160],"benchmark":[161],"datasets":[162],"obtaining":[163],"state-of-the-art":[164],"results":[165],"Our":[175],"code":[176],"for":[177],"work":[179],"is":[180],"also":[181],"available.11https://github.com/ninatu/everything_at_once":[182]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":47},{"year":2023,"cited_by_count":47},{"year":2022,"cited_by_count":13}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-12-31T00:00:00"}
