{"id":"https://openalex.org/W3163893908","doi":"https://doi.org/10.1109/tmm.2021.3078141","title":"Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection","display_name":"Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection","publication_year":2021,"publication_date":"2021-05-06","ids":{"openalex":"https://openalex.org/W3163893908","doi":"https://doi.org/10.1109/tmm.2021.3078141","mag":"3163893908"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3078141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3078141","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/A5102716624","display_name":"Chong Zhang","orcid":"https://orcid.org/0000-0001-6957-2996"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Chong Zhang","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, Guangdong Province, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6957-2996","affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, Guangdong Province, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002657447","display_name":"Zongxian Li","orcid":"https://orcid.org/0009-0005-4044-9552"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Zongxian Li","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442542","display_name":"Jingjing Liu","orcid":"https://orcid.org/0000-0001-5481-7639"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Jingjing Liu","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070755370","display_name":"Peixi Peng","orcid":"https://orcid.org/0000-0002-7427-8764"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Peixi Peng","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015317495","display_name":"Qixiang Ye","orcid":null},"institutions":[{"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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixiang Ye","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1215-6259","affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023507910","display_name":"Shijian Lu","orcid":"https://orcid.org/0000-0002-6766-2506"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"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","SG"],"is_corresponding":false,"raw_author_name":"Shijian Lu","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6766-2506","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Tiejun Huang","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4234-6099","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Yonghong Tian","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2978-5935","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4121,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.93415492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"24","issue":null,"first_page":"2246","last_page":"2258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.8497748374938965},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6656907796859741},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6094111204147339},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6000038981437683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5293745994567871},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49939846992492676},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45216667652130127},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4451945722103119},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4344303607940674},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33874011039733887}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8497748374938965},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6656907796859741},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6094111204147339},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6000038981437683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5293745994567871},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49939846992492676},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45216667652130127},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4451945722103119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4344303607940674},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33874011039733887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"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.2021.3078141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3078141","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":[],"awards":[{"id":"https://openalex.org/G6662223526","display_name":null,"funder_award_id":"61825101","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2031342017","https://openalex.org/W2031489346","https://openalex.org/W2060300932","https://openalex.org/W2077933344","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2115403315","https://openalex.org/W2115579991","https://openalex.org/W2164943005","https://openalex.org/W2194775991","https://openalex.org/W2214409633","https://openalex.org/W2256388387","https://openalex.org/W2340897893","https://openalex.org/W2584009249","https://openalex.org/W2614424296","https://openalex.org/W2618530766","https://openalex.org/W2748021867","https://openalex.org/W2890718122","https://openalex.org/W2916218684","https://openalex.org/W2918125535","https://openalex.org/W2919206487","https://openalex.org/W2939059980","https://openalex.org/W2944388686","https://openalex.org/W2955889502","https://openalex.org/W2962687275","https://openalex.org/W2962823940","https://openalex.org/W2962858109","https://openalex.org/W2962859295","https://openalex.org/W2963093690","https://openalex.org/W2963118547","https://openalex.org/W2963240485","https://openalex.org/W2963287324","https://openalex.org/W2963315052","https://openalex.org/W2963351448","https://openalex.org/W2963992143","https://openalex.org/W2964115968","https://openalex.org/W2968634921","https://openalex.org/W2969583814","https://openalex.org/W2979548969","https://openalex.org/W2984957018","https://openalex.org/W2990069979","https://openalex.org/W2998115938","https://openalex.org/W3010381534","https://openalex.org/W3034779842","https://openalex.org/W3034937575","https://openalex.org/W3035038723","https://openalex.org/W3035175896","https://openalex.org/W3035673985","https://openalex.org/W3048265828","https://openalex.org/W3100804201","https://openalex.org/W3121281282","https://openalex.org/W3180439858","https://openalex.org/W4293584584","https://openalex.org/W6634441602","https://openalex.org/W6637373629","https://openalex.org/W6639480849","https://openalex.org/W6677995690","https://openalex.org/W6679390333","https://openalex.org/W6683633756","https://openalex.org/W6686604231","https://openalex.org/W6688325169","https://openalex.org/W6695692224","https://openalex.org/W6720691552","https://openalex.org/W6746282794","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W2955455867"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,42,85,161],"adaptation":[2],"(UDA)":[3],"has":[4],"achieved":[5],"unprecedented":[6],"success":[7],"in":[8,87,120],"improving":[9],"the":[10,23,28,37,68,92,95,100,152],"cross-domain":[11],"robustness":[12],"of":[13,74,102,140],"object":[14,61],"detection":[15,62,141],"models.":[16,142],"However,":[17],"existing":[18],"UDA":[19],"methods":[20,154],"largely":[21],"ignore":[22],"instantaneous":[24,69],"data":[25],"distribution":[26],"and":[27,59,104],"sampling":[29],"strategy":[30],"during":[31,124],"model":[32,125],"learning,":[33],"which":[34],"could":[35],"deteriorate":[36],"feature":[38,57],"representation":[39,58],"given":[40],"large":[41,160],"shift.":[43],"In":[44],"this":[45],"work,":[46],"we":[47],"propose":[48],"a":[49,88],"Self-Guided":[50,114],"Adaptation":[51],"(SGA)":[52],"model,":[53],"targeting":[54],"at":[55],"aligning":[56],"transferring":[60],"models":[63],"across":[64],"domains":[65],"while":[66],"considering":[67],"alignment":[70],"difficulty.":[71],"The":[72],"core":[73],"SGA":[75,97,131,150],"is":[76,118,132],"to":[77,135],"calculate":[78],"\u201chardness\u201d":[79],"factors":[80],"for":[81],"sample":[82],"pairs":[83],"indicating":[84],"distance":[86],"kernel":[89],"space.":[90],"With":[91],"hardness":[93,112],"factor,":[94],"proposed":[96],"adaptively":[98],"indicates":[99],"importance":[101],"samples":[103],"assigns":[105],"them":[106],"different":[107],"constrains.":[108],"Indicated":[109],"by":[110],"these":[111],"factors,":[113],"Progressive":[115],"Sampling":[116],"(SPS)":[117],"implemented":[119],"an":[121],"\u201ceasy-to-hard\u201d":[122],"way":[123],"adaptation.":[126],"Using":[127],"multi-stage":[128],"convolutional":[129],"features,":[130],"further":[133],"aggregated":[134],"fully":[136],"align":[137],"hierarchical":[138],"representations":[139],"Extensive":[143],"experiments":[144],"on":[145,159],"commonly-used":[146],"benchmarks":[147],"show":[148],"that":[149],"improves":[151],"state-of-the-art":[153],"with":[155],"significant":[156],"margins":[157],"especially":[158],"shift":[162],"cases.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}