{"id":"https://openalex.org/W4403223097","doi":"https://doi.org/10.1145/3689095.3689102","title":"Evaluating Domain Translation Approaches for Drone-Based Geo-Localization in Adverse Weather","display_name":"Evaluating Domain Translation Approaches for Drone-Based Geo-Localization in Adverse Weather","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403223097","doi":"https://doi.org/10.1145/3689095.3689102"},"language":"en","primary_location":{"id":"doi:10.1145/3689095.3689102","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3689095.3689102","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3689095.3689102?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3689095.3689102?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yiqing Li","orcid":"https://orcid.org/0009-0004-5185-7319"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiqing Li","raw_affiliation_strings":["Zhejiang Scientific Research Institute of Transport &amp; Zhejiang Jiande Institute of General Aviation, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-5185-7319","affiliations":[{"raw_affiliation_string":"Zhejiang Scientific Research Institute of Transport &amp; Zhejiang Jiande Institute of General Aviation, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101249977","display_name":"Shuke He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuke He","raw_affiliation_strings":["Zhejiang Scientific Research Institute of Transport &amp; Zhejiang Jiande Institute of General Aviation, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-7392-6760","affiliations":[{"raw_affiliation_string":"Zhejiang Scientific Research Institute of Transport &amp; Zhejiang Jiande Institute of General Aviation, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102336472","display_name":"Jin Chen","orcid":"https://orcid.org/0009-0002-1345-3618"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Jin","raw_affiliation_strings":["College of Civil Aviation, Nanjing University of Aeronautics and Astronautics &amp; Zhejiang Scientific Research Institute of Transport, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0002-1345-3618","affiliations":[{"raw_affiliation_string":"College of Civil Aviation, Nanjing University of Aeronautics and Astronautics &amp; Zhejiang Scientific Research Institute of Transport, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7888,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77956193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9959999918937683,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9952999949455261,"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/drone","display_name":"Drone","score":0.8785749077796936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6636819243431091},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6299902200698853},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5898993015289307},{"id":"https://openalex.org/keywords/adverse-weather","display_name":"Adverse weather","score":0.4450492262840271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4426496922969818},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.18674537539482117},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1118878722190857},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07513928413391113}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.8785749077796936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636819243431091},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6299902200698853},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5898993015289307},{"id":"https://openalex.org/C2992147540","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Adverse weather","level":2,"score":0.4450492262840271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4426496922969818},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.18674537539482117},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1118878722190857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07513928413391113},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3689095.3689102","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3689095.3689102","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3689095.3689102?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3689095.3689102","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3689095.3689102","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3689095.3689102?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403223097.pdf","grobid_xml":"https://content.openalex.org/works/W4403223097.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1946093182","https://openalex.org/W1979470835","https://openalex.org/W2559264300","https://openalex.org/W2572697301","https://openalex.org/W2948606054","https://openalex.org/W2963073614","https://openalex.org/W2963474852","https://openalex.org/W2963800716","https://openalex.org/W2964337214","https://openalex.org/W3081227581","https://openalex.org/W3092933908","https://openalex.org/W4206760693","https://openalex.org/W4221161773","https://openalex.org/W4312703192","https://openalex.org/W4312958254","https://openalex.org/W4386066146","https://openalex.org/W4387925129","https://openalex.org/W4387925387","https://openalex.org/W4392697187"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4212885606"],"abstract_inverted_index":{"The":[0],"UAVs":[1],"in":[2,134],"Multimedia":[3],"(UAVM)":[4],"2024":[5],"competition":[6],"aims":[7],"to":[8,58,73,82],"improve":[9,32],"the":[10,20,24,38,61],"performance":[11,33,62,119],"of":[12,63],"Drone-based":[13],"Geo-localization":[14],"task":[15],"under":[16],"extreme":[17],"weather.":[18],"On":[19],"task,":[21],"we":[22,52],"found":[23],"simple":[25],"augmentation":[26],"on":[27,44,49],"training":[28],"set":[29],"can":[30],"significant":[31],"with":[34],"zero-cost":[35],"and":[36,79,132],"won":[37],"6th":[39],"Place":[40],"among":[41],"22":[42],"teams":[43],"this":[45,92,125,135],"competition.":[46],"Furthermore,":[47],"based":[48],"our":[50,108],"observations,":[51],"propose":[53],"a":[54,70,74],"domain":[55,72,76],"translation":[56],"framework":[57],"further":[59,83],"enhance":[60],"any":[64],"model.":[65],"We":[66,123],"transfer":[67],"images":[68],"from":[69],"multi-weather":[71],"normal":[75],"using":[77],"GAN":[78],"introduce":[80],"FFM":[81],"reduce":[84],"computational":[85],"costs.":[86],"Our":[87],"experiments":[88],"revealed":[89],"that":[90],"while":[91,107],"strategy":[93,109],"indeed":[94],"improves":[95],"image":[96],"quality,":[97],"it":[98],"does":[99],"not":[100],"translate":[101],"into":[102],"improved":[103],"recognition":[104],"accuracy.":[105],"Thus,":[106],"is":[110],"supported":[111],"by":[112],"experimental":[113],"evidence,":[114],"practical":[115],"methods":[116],"for":[117,130],"achieving":[118],"improvement":[120],"remain":[121],"elusive.":[122],"hope":[124],"report":[126],"provides":[127],"valuable":[128],"insights":[129],"developers":[131],"researchers":[133],"field.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
