{"id":"https://openalex.org/W4319663728","doi":"https://doi.org/10.1109/tmm.2023.3243616","title":"DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition","display_name":"DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319663728","doi":"https://doi.org/10.1109/tmm.2023.3243616"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3243616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3243616","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/A5026473808","display_name":"Jiayu Jiao","orcid":"https://orcid.org/0000-0003-0507-2620"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayu Jiao","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085164268","display_name":"Yu-Ming Tang","orcid":"https://orcid.org/0000-0001-5472-0079"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Ming Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062991951","display_name":"Kun-Yu Lin","orcid":"https://orcid.org/0000-0002-0013-3730"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun-Yu Lin","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068481484","display_name":"Yipeng Gao","orcid":"https://orcid.org/0009-0009-6784-6944"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Gao","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085704922","display_name":"J. Andy","orcid":"https://orcid.org/0000-0002-0165-8416"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Andy J. Ma","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631216","display_name":"Yaowei Wang","orcid":"https://orcid.org/0000-0003-2197-9038"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowei Wang","raw_affiliation_strings":["Pengcheng Laboratory, ShenZhen, China","School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, ShenZhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Shi Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","Peng Cheng Laboratory, Shenzhen, China","Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5026473808"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":36.6275,"has_fulltext":false,"cited_by_count":307,"citation_normalized_percentile":{"value":0.99877333,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"25","issue":null,"first_page":"8906","last_page":"8919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991999864578247,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9977999925613403,"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":0.7547748684883118},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5565575361251831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5036949515342712},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.42108213901519775},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.41709572076797485},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34576016664505005},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3456820845603943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32100337743759155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7547748684883118},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5565575361251831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5036949515342712},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.42108213901519775},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.41709572076797485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34576016664505005},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3456820845603943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32100337743759155},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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.2023.3243616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3243616","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":[{"score":0.7200000286102295,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1702828313","display_name":null,"funder_award_id":"U21A20471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3046155044","display_name":null,"funder_award_id":"PCL2021A07","funder_id":"https://openalex.org/F4320318558","funder_display_name":"Peng Cheng Laboratory"},{"id":"https://openalex.org/G3167315294","display_name":null,"funder_award_id":"U1911401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5372072380","display_name":null,"funder_award_id":"U1811461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320318558","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":125,"referenced_works":["https://openalex.org/W153185079","https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2618530766","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2884822772","https://openalex.org/W2910628332","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2989676862","https://openalex.org/W2992308087","https://openalex.org/W2998508940","https://openalex.org/W3015468748","https://openalex.org/W3023138874","https://openalex.org/W3029368604","https://openalex.org/W3034421924","https://openalex.org/W3034429256","https://openalex.org/W3034641810","https://openalex.org/W3035452548","https://openalex.org/W3094673569","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W3120524222","https://openalex.org/W3120797281","https://openalex.org/W3121523901","https://openalex.org/W3127812914","https://openalex.org/W3131500599","https://openalex.org/W3136416617","https://openalex.org/W3137963805","https://openalex.org/W3138516171","https://openalex.org/W3139049060","https://openalex.org/W3139633126","https://openalex.org/W3144914540","https://openalex.org/W3151130473","https://openalex.org/W3154362247","https://openalex.org/W3156800342","https://openalex.org/W3160694286","https://openalex.org/W3168101492","https://openalex.org/W3171660447","https://openalex.org/W3172117784","https://openalex.org/W3172509117","https://openalex.org/W3172942063","https://openalex.org/W3173857070","https://openalex.org/W3175557814","https://openalex.org/W3176278386","https://openalex.org/W3183430956","https://openalex.org/W3190216403","https://openalex.org/W3190492058","https://openalex.org/W3190676496","https://openalex.org/W3196466542","https://openalex.org/W3203701986","https://openalex.org/W3203974803","https://openalex.org/W3212877081","https://openalex.org/W3214707056","https://openalex.org/W4210652091","https://openalex.org/W4214493665","https://openalex.org/W4214614183","https://openalex.org/W4214634256","https://openalex.org/W4214654781","https://openalex.org/W4214713996","https://openalex.org/W4214736485","https://openalex.org/W4225535860","https://openalex.org/W4225624959","https://openalex.org/W4281263026","https://openalex.org/W4283809036","https://openalex.org/W4285483923","https://openalex.org/W4288325606","https://openalex.org/W4293584584","https://openalex.org/W4295308583","https://openalex.org/W4298187611","https://openalex.org/W4312443924","https://openalex.org/W4312804044","https://openalex.org/W4312820606","https://openalex.org/W4312847199","https://openalex.org/W4312950730","https://openalex.org/W4312977443","https://openalex.org/W4313007769","https://openalex.org/W4313156423","https://openalex.org/W4313160444","https://openalex.org/W4379382445","https://openalex.org/W4386075553","https://openalex.org/W6637373629","https://openalex.org/W6694954494","https://openalex.org/W6696085341","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6750227808","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6762718338","https://openalex.org/W6764322716","https://openalex.org/W6776048684","https://openalex.org/W6778883912","https://openalex.org/W6784333009","https://openalex.org/W6788135285","https://openalex.org/W6790690058","https://openalex.org/W6791705549","https://openalex.org/W6792695861","https://openalex.org/W6794345597","https://openalex.org/W6795901243","https://openalex.org/W6796237581","https://openalex.org/W6796721132","https://openalex.org/W6796931752","https://openalex.org/W6797235774","https://openalex.org/W6797790494","https://openalex.org/W6798016242","https://openalex.org/W6800092589","https://openalex.org/W6803916128","https://openalex.org/W6809513969","https://openalex.org/W6809816361","https://openalex.org/W6810607895","https://openalex.org/W6838387208","https://openalex.org/W6839818334","https://openalex.org/W6840156360","https://openalex.org/W6844051892"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"As":[0],"a":[1,56,85,157,162],"<italic":[2,143,147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[3,144,148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">de":[4],"facto</i>":[5],"solution,":[6],"the":[7,23,47,59,73,89,95,101,115,123,153],"vanilla":[8],"Vision":[9,36,81],"Transformers":[10,37,82],"(ViTs)":[11],"are":[12],"encouraged":[13],"to":[14,29,83,141],"model":[15,142],"long-range":[16],"dependencies":[17],"between":[18,49,88],"arbitrary":[19],"image":[20],"patches":[21,50],"while":[22],"global":[24,105,126,175],"attended":[25,67,96],"receptive":[26,68,97],"field":[27],"leads":[28],"quadratic":[30],"computational":[31,60,90],"cost.":[32],"Another":[33],"branch":[34],"of":[35,94,104,125,132],"exploits":[38],"local":[39],"attention":[40,106],"inspired":[41],"by":[42,167],"CNNs,":[43],"which":[44,70],"only":[45],"models":[46],"interactions":[48],"in":[51,107,114,129],"small":[52,66],"neighborhoods.":[53],"Although":[54],"such":[55],"solution":[57],"reduces":[58],"cost,":[61],"it":[62],"naturally":[63],"suffers":[64],"from":[65],"fields,":[69],"may":[71],"limit":[72],"performance.":[74],"In":[75],"this":[76],"work,":[77],"we":[78,109,135,160],"explore":[79],"effective":[80],"pursue":[84],"preferable":[86],"trade-off":[87],"complexity":[91],"and":[92,120,146,174,236],"size":[93],"field.":[98],"By":[99],"analyzing":[100],"patch":[102,150],"interaction":[103,151],"ViTs,":[108],"observe":[110],"two":[111],"key":[112],"properties":[113],"shallow":[116,130],"layers,":[117],"namely":[118],"locality":[119],"sparsity,":[121],"indicating":[122],"redundancy":[124],"dependency":[127],"modeling":[128],"layers":[131],"ViTs.":[133],"Accordingly,":[134],"propose":[136],"Multi-Scale":[137,163],"Dilated":[138,164],"Attention":[139],"(MSDA)":[140],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">local</i>":[145],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">sparse</i>":[149],"within":[152],"sliding":[154],"window.":[155],"With":[156],"pyramid":[158],"architecture,":[159],"construct":[161],"Transformer":[165],"(DilateFormer)":[166],"stacking":[168],"MSDA":[169],"blocks":[170,178],"at":[171,179],"low-level":[172],"stages":[173],"multi-head":[176],"self-attention":[177],"high-level":[180],"stages.":[181],"Our":[182,214],"experiment":[183],"results":[184],"show":[185],"that":[186],"our":[187],"DilateFormer":[188,201],"achieves":[189,202,216],"state-of-the-art":[190,212],"performance":[191,204],"on":[192,220,230,240],"various":[193],"vision":[194],"tasks.":[195],"On":[196],"ImageNet-1":[197,221],"K":[198,222,242],"classification":[199,223],"task,":[200,224],"comparable":[203],"with":[205,210],"70%":[206],"fewer":[207],"FLOPs":[208],"compared":[209],"existing":[211],"models.":[213],"DilateFormer-Base":[215],"85.6%":[217],"top-1":[218],"accuracy":[219],"53.5%":[225],"box":[226],"mAP/46.1%":[227],"mask":[228],"mAP":[229],"COCO":[231],"object":[232],"detection/instance":[233],"segmentation":[234,244],"task":[235],"51.1%":[237],"MS":[238],"mIoU":[239],"ADE20":[241],"semantic":[243],"task.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":29},{"year":2025,"cited_by_count":168},{"year":2024,"cited_by_count":102},{"year":2023,"cited_by_count":8}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}