{"id":"https://openalex.org/W4414229984","doi":"https://doi.org/10.1109/jstars.2025.3610115","title":"YOLO-AFP: A More Robust Network for Aerial Object Detection","display_name":"YOLO-AFP: A More Robust Network for Aerial Object Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414229984","doi":"https://doi.org/10.1109/jstars.2025.3610115"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3610115","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3610115","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3610115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xue Li","orcid":"https://orcid.org/0000-0002-3957-5122"},"institutions":[{"id":"https://openalex.org/I4387154110","display_name":"Southwest China Institute of Electronic Technology","ror":"https://ror.org/04jbf9x18","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387154110"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Li","raw_affiliation_strings":["Southwest China Institute of Electronic Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3957-5122","affiliations":[{"raw_affiliation_string":"Southwest China Institute of Electronic Technology, Chengdu, China","institution_ids":["https://openalex.org/I4387154110"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ziang Wang","orcid":"https://orcid.org/0009-0001-1988-9597"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziang Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0001-1988-9597","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018223832","display_name":"Xueyu Chen","orcid":"https://orcid.org/0000-0002-7066-0501"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyu Chen","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044816349","display_name":"Wangbin Li","orcid":"https://orcid.org/0000-0003-1841-4247"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangbin Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1841-4247","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100982683","display_name":"Kaimin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaimin Sun","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2664-9479","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035188624","display_name":"Zuomei Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I4387154110","display_name":"Southwest China Institute of Electronic Technology","ror":"https://ror.org/04jbf9x18","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387154110"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuomei Lai","raw_affiliation_strings":["Southwest China Institute of Electronic Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest China Institute of Electronic Technology, Chengdu, China","institution_ids":["https://openalex.org/I4387154110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005997048","display_name":"Peipei Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4387154110","display_name":"Southwest China Institute of Electronic Technology","ror":"https://ror.org/04jbf9x18","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387154110"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peipei Zhu","raw_affiliation_strings":["Southwest China Institute of Electronic Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest China Institute of Electronic Technology, Chengdu, China","institution_ids":["https://openalex.org/I4387154110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3040449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"24466","last_page":"24478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9878000020980835,"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/object-detection","display_name":"Object detection","score":0.7028999924659729},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6563000082969666},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.595300018787384},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.5562999844551086},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5396000146865845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5350000262260437},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5044999718666077},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.46779999136924744},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45410001277923584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7753999829292297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7587000131607056},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7028999924659729},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6563000082969666},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.595300018787384},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5670999884605408},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.5562999844551086},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5396000146865845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5350000262260437},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5044999718666077},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.46779999136924744},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45410001277923584},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41589999198913574},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.33070001006126404},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.2892000079154968},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.28619998693466187},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.2547999918460846},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3610115","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3610115","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:04e7a303ccd84b84a95f0e681e217d94","is_oa":true,"landing_page_url":"https://doaj.org/article/04e7a303ccd84b84a95f0e681e217d94","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 24466-24478 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3610115","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3610115","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8437956734","display_name":null,"funder_award_id":"62303433","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":37,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2109255472","https://openalex.org/W2183182206","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2565639579","https://openalex.org/W2745541172","https://openalex.org/W2962749812","https://openalex.org/W2962850830","https://openalex.org/W2963037989","https://openalex.org/W2963604034","https://openalex.org/W2963857746","https://openalex.org/W2981495453","https://openalex.org/W3034684132","https://openalex.org/W3210586215","https://openalex.org/W3210997334","https://openalex.org/W4226042837","https://openalex.org/W4286433453","https://openalex.org/W4295122555","https://openalex.org/W4312961318","https://openalex.org/W4319336644","https://openalex.org/W4377091754","https://openalex.org/W4384929105","https://openalex.org/W4385551429","https://openalex.org/W4386066015","https://openalex.org/W4386076274","https://openalex.org/W4386076325","https://openalex.org/W4387757656","https://openalex.org/W4392905989","https://openalex.org/W4393148824","https://openalex.org/W4398756379","https://openalex.org/W4399265182","https://openalex.org/W4402260002","https://openalex.org/W4402754006","https://openalex.org/W4403770406","https://openalex.org/W4405219694"],"related_works":[],"abstract_inverted_index":{"In":[0],"practical":[1],"applications":[2],"of":[3,30,170,182,211,216,237],"aerial":[4,9],"object":[5,33],"detection,":[6],"real-time":[7,221],"unmanned":[8],"vehicle":[10],"(UAV)":[11],"imagery":[12],"is":[13],"often":[14],"affected":[15],"by":[16,135,224,243],"noise,":[17],"low":[18],"light,":[19],"and":[20,50,106,130,197,213,226],"cloud":[21],"occlusion,":[22],"leading":[23],"to":[24,37,41,79,115,125,161],"poor":[25],"image":[26,172],"quality.":[27],"The":[28],"performance":[29],"mainstream":[31],"UAV":[32],"detection":[34,222],"algorithms":[35],"tends":[36],"degrade":[38],"when":[39],"applied":[40],"such":[42],"imagery,":[43],"as":[44,145],"these":[45,57],"models":[46],"are":[47],"typically":[48],"trained":[49,88],"evaluated":[51],"on":[52,90,174,191,203],"clean":[53,91],"datasets.":[54],"To":[55,178],"address":[56],"challenges,":[58],"we":[59,94,140,185],"propose":[60,141],"a":[61,142,209,214],"robust":[62,143],"YOLO":[63],"based":[64,190],"network,":[65,148],"YOLO-AFP,":[66],"which":[67,98,149],"integrates":[68],"an":[69,235],"atrous":[70,100],"feature":[71,132,152,176],"pyramid":[72],"(AFP)":[73],"module.":[74],"This":[75,120,164],"allows":[76,122],"the":[77,110,117,123,146,168,180,192,204,219,230,240],"model":[78,124,223,242],"generalize":[80],"effectively":[81,166],"under":[82],"various":[83],"corrupted":[84,171],"conditions,":[85],"despite":[86],"being":[87],"only":[89],"data.":[92],"First,":[93],"introduced":[95],"AFP":[96],"module,":[97],"employs":[99],"convolutions":[101],"with":[102],"varying":[103],"dilation":[104],"rates,":[105],"integrate":[107],"it":[108],"into":[109],"path":[111],"aggregation":[112],"network":[113],"(PAN)":[114],"expand":[116],"receptive":[118],"field.":[119],"enhancement":[121],"better":[126],"capture":[127],"object-background":[128],"relationships":[129],"reduce":[131],"corruption":[133],"caused":[134],"local":[136],"pixel":[137],"changes.":[138],"Second,":[139],"ResNet-SPPF":[144],"backbone":[147],"retains":[150],"strong":[151],"extraction":[153],"capabilities":[154],"while":[155],"having":[156],"fewer":[157],"residual":[158],"connections":[159],"compared":[160],"YOLO's":[162],"Darknet.":[163],"design":[165],"mitigates":[167],"impact":[169],"features":[173],"subsequent":[175],"extraction.":[177],"validate":[179],"effectiveness":[181],"our":[183],"method,":[184],"constructed":[186],"two":[187],"new":[188],"datasets":[189],"DOTAv1.0":[193],"dataset,":[194,206,232],"named":[195],"DOTA-HC":[196,205],"DOTA-HCloud.":[198],"Experimental":[199],"results":[200],"demonstrate":[201],"that":[202],"YOLO-AFP":[207,233],"achieved":[208,234],"mPC":[210],"60.8%":[212],"rPC":[215,236],"80.3%,":[217],"outperforming":[218],"best":[220],"1.5%":[225],"2%,":[227],"respectively.":[228],"On":[229],"DOTA-HCloud":[231],"88.5%,":[238],"surpassing":[239],"top":[241],"1.1%.":[244]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}