{"id":"https://openalex.org/W4224981243","doi":"https://doi.org/10.3390/rs14092088","title":"Rapid Vehicle Detection in Aerial Images under the Complex Background of Dense Urban Areas","display_name":"Rapid Vehicle Detection in Aerial Images under the Complex Background of Dense Urban Areas","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224981243","doi":"https://doi.org/10.3390/rs14092088"},"language":"en","primary_location":{"id":"doi:10.3390/rs14092088","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14092088","pdf_url":"https://www.mdpi.com/2072-4292/14/9/2088/pdf?version=1651918103","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/9/2088/pdf?version=1651918103","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024905068","display_name":"Shengjie Zhu","orcid":"https://orcid.org/0000-0001-6752-5811"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjie Zhu","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101648176","display_name":"Jinghong Liu","orcid":"https://orcid.org/0000-0003-0505-5265"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"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":true,"raw_author_name":"Jinghong Liu","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082150541","display_name":"Yang Tian","orcid":"https://orcid.org/0000-0002-4830-6784"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Tian","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056202258","display_name":"Yujia Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Zuo","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China"],"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100747208","display_name":"Chenglong Liu","orcid":"https://orcid.org/0000-0002-8421-7017"},"institutions":[{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Liu","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China"],"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101648176"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210088164","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.5104,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62673047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"14","issue":"9","first_page":"2088","last_page":"2088"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9966999888420105,"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":0.753968358039856},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5902409553527832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5875879526138306},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5812979936599731},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5333449840545654},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5191185474395752},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48935002088546753},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47429850697517395},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4736841022968292},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4291788935661316},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34048992395401},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12812837958335876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753968358039856},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5902409553527832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5875879526138306},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5812979936599731},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5333449840545654},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5191185474395752},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48935002088546753},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47429850697517395},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4736841022968292},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4291788935661316},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34048992395401},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12812837958335876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14092088","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14092088","pdf_url":"https://www.mdpi.com/2072-4292/14/9/2088/pdf?version=1651918103","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:91d9f90e5d564aaaa4dbe644127ea4a6","is_oa":true,"landing_page_url":"https://doaj.org/article/91d9f90e5d564aaaa4dbe644127ea4a6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 9, p 2088 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/9/2088/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14092088","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 9; Pages: 2088","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14092088","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14092088","pdf_url":"https://www.mdpi.com/2072-4292/14/9/2088/pdf?version=1651918103","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8953256898","display_name":null,"funder_award_id":"61905240","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224981243.pdf","grobid_xml":"https://content.openalex.org/works/W4224981243.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W639708223","https://openalex.org/W1594676769","https://openalex.org/W1677182931","https://openalex.org/W1861492603","https://openalex.org/W1966832848","https://openalex.org/W1985511977","https://openalex.org/W2031489346","https://openalex.org/W2036989445","https://openalex.org/W2037227137","https://openalex.org/W2097117768","https://openalex.org/W2102296123","https://openalex.org/W2102605133","https://openalex.org/W2114867966","https://openalex.org/W2120419212","https://openalex.org/W2124386111","https://openalex.org/W2128254161","https://openalex.org/W2150047938","https://openalex.org/W2156936307","https://openalex.org/W2164598857","https://openalex.org/W2168356304","https://openalex.org/W2176924101","https://openalex.org/W2193145675","https://openalex.org/W2256362396","https://openalex.org/W2296151615","https://openalex.org/W2407521645","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2574923078","https://openalex.org/W2577537809","https://openalex.org/W2587248218","https://openalex.org/W2601564443","https://openalex.org/W2606609115","https://openalex.org/W2613825824","https://openalex.org/W2618530766","https://openalex.org/W2752010668","https://openalex.org/W2899049548","https://openalex.org/W2948672349","https://openalex.org/W2962749812","https://openalex.org/W2962921175","https://openalex.org/W2963037989","https://openalex.org/W2963091558","https://openalex.org/W2963093690","https://openalex.org/W2963150697","https://openalex.org/W2964041607","https://openalex.org/W2973030851","https://openalex.org/W2992240579","https://openalex.org/W2997747012","https://openalex.org/W3023254438","https://openalex.org/W3027225766","https://openalex.org/W3030414750","https://openalex.org/W3034332428","https://openalex.org/W3096609285","https://openalex.org/W3097096317","https://openalex.org/W3106250896","https://openalex.org/W3133741906","https://openalex.org/W3135462507","https://openalex.org/W3157042932","https://openalex.org/W3183323110","https://openalex.org/W4206706211","https://openalex.org/W4214513770","https://openalex.org/W4221090720","https://openalex.org/W4239515185","https://openalex.org/W6618372016","https://openalex.org/W6682473505","https://openalex.org/W6683411478","https://openalex.org/W6754416387"],"related_works":["https://openalex.org/W2969228573","https://openalex.org/W2972256598","https://openalex.org/W4388964477","https://openalex.org/W4388813151","https://openalex.org/W2610408157","https://openalex.org/W4387801831","https://openalex.org/W4221156520","https://openalex.org/W2099047584","https://openalex.org/W2612465689","https://openalex.org/W4327521163"],"abstract_inverted_index":{"Vehicle":[0],"detection":[1,54,61,125],"on":[2,176],"aerial":[3,63,131],"remote":[4,23,29,132],"sensing":[5,30,133],"images":[6,31,64,162],"under":[7],"the":[8,20,26,38,41,46,56,82,94,104,110,114,119,124,170,173,180,185],"complex":[9,143],"background":[10,47],"of":[11,22,28,40,96,172],"urban":[12],"areas":[13],"has":[14,142],"always":[15],"received":[16],"great":[17],"attention":[18],"in":[19,55,62,113],"field":[21],"sensing;":[24],"however,":[25],"view":[27,58],"usually":[32],"covers":[33],"a":[34,66,74,87,155],"large":[35],"area,":[36],"and":[37,45,98,122,149,165,179,187],"size":[39,112],"vehicle":[42,60,111],"is":[43,48],"small":[44],"complex.":[49],"Therefore,":[50],"compared":[51,191],"with":[52,136,163,192],"object":[53],"ground":[57],"images,":[59],"remains":[65],"challenging":[67],"problem.":[68],"In":[69,81],"this":[70],"paper,":[71],"we":[72,85,102,168],"propose":[73],"single-scale":[75],"rapid":[76],"convolutional":[77],"neural":[78],"network":[79],"(SSRD-Net).":[80],"proposed":[83,174],"framework,":[84],"design":[86,154],"global":[88,99],"relational":[89],"(GR)":[90],"block":[91],"to":[92,108,159],"enhance":[93],"fusion":[95],"local":[97],"features;":[100],"moreover,":[101],"adjust":[103],"image":[105,134],"segmentation":[106],"method":[107,158],"unify":[109],"input":[115],"image,":[116],"thus":[117],"simplifying":[118],"model":[120,175],"structure":[121],"improving":[123],"speed.":[126],"We":[127,152],"further":[128],"introduce":[129],"an":[130],"dataset":[135],"rotating":[137],"bounding":[138],"boxes":[139],"(RO-ARS),":[140],"which":[141],"backgrounds":[144],"such":[145],"as":[146],"snow,":[147],"clouds,":[148],"fog":[150],"scenes.":[151],"also":[153],"data":[156],"augmentation":[157],"get":[160],"more":[161],"clouds":[164],"fog.":[166],"Finally,":[167],"evaluate":[169],"performance":[171],"several":[177],"datasets,":[178],"experimental":[181],"results":[182],"show":[183],"that":[184],"recall":[186],"precision":[188],"are":[189],"improved":[190],"existing":[193],"methods.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
