{"id":"https://openalex.org/W4379806154","doi":"https://doi.org/10.1109/jurse57346.2023.10144189","title":"Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images","display_name":"Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images","publication_year":2023,"publication_date":"2023-05-17","ids":{"openalex":"https://openalex.org/W4379806154","doi":"https://doi.org/10.1109/jurse57346.2023.10144189"},"language":"en","primary_location":{"id":"doi:10.1109/jurse57346.2023.10144189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jurse57346.2023.10144189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint Urban Remote Sensing Event (JURSE)","raw_type":"proceedings-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/A5078068315","display_name":"Zhenghang Yuan","orcid":"https://orcid.org/0000-0002-4014-0484"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Zhenghang Yuan","raw_affiliation_strings":["University of Munich (TUM),Data Science in Earth Observation Technical,Munich,Germany","Data Science in Earth Observation Technical, University of Munich (TUM), Munich, Germany"],"affiliations":[{"raw_affiliation_string":"University of Munich (TUM),Data Science in Earth Observation Technical,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Data Science in Earth Observation Technical, University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024379450","display_name":"Lichao Mou","orcid":"https://orcid.org/0000-0001-8407-6413"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lichao Mou","raw_affiliation_strings":["University of Munich (TUM),Data Science in Earth Observation Technical,Munich,Germany","Data Science in Earth Observation Technical, University of Munich (TUM), Munich, Germany"],"affiliations":[{"raw_affiliation_string":"University of Munich (TUM),Data Science in Earth Observation Technical,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Data Science in Earth Observation Technical, University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068384981","display_name":"Xiao Xiang Zhu","orcid":"https://orcid.org/0000-0001-5530-3613"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiao Xiang Zhu","raw_affiliation_strings":["University of Munich (TUM),Data Science in Earth Observation Technical,Munich,Germany","Data Science in Earth Observation Technical, University of Munich (TUM), Munich, Germany"],"affiliations":[{"raw_affiliation_string":"University of Munich (TUM),Data Science in Earth Observation Technical,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Data Science in Earth Observation Technical, University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078068315"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":1.5533,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85026885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning 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/T11714","display_name":"Multimodal Machine Learning 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9957000017166138,"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":0.991100013256073,"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/robustness","display_name":"Robustness (evolution)","score":0.8501668572425842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8487869501113892},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6403668522834778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5920160412788391},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4758864641189575},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47136154770851135},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.45393431186676025},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41110673546791077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3763996958732605}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8501668572425842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8487869501113892},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6403668522834778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5920160412788391},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4758864641189575},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47136154770851135},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.45393431186676025},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41110673546791077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3763996958732605},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jurse57346.2023.10144189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jurse57346.2023.10144189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint Urban Remote Sensing Event (JURSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1933349210","https://openalex.org/W2612112834","https://openalex.org/W2884276099","https://openalex.org/W2980088508","https://openalex.org/W2986943971","https://openalex.org/W3012111773","https://openalex.org/W3038038411","https://openalex.org/W3097754216","https://openalex.org/W3098351727","https://openalex.org/W3099831940","https://openalex.org/W3203031838","https://openalex.org/W3206799531","https://openalex.org/W4221146246","https://openalex.org/W4225991573","https://openalex.org/W4229439310","https://openalex.org/W4285818301","https://openalex.org/W4292828962","https://openalex.org/W4305005880","https://openalex.org/W6737478050","https://openalex.org/W6802006682","https://openalex.org/W6810146941","https://openalex.org/W6845668075"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W4288102755","https://openalex.org/W2103247590","https://openalex.org/W3159777597"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"answering":[2,14],"questions":[3,79],"based":[4],"on":[5,33,143],"the":[6,34,43,61,65,69,83,87,121,129,132,137,144],"content":[7],"of":[8,36,45,94,131],"remotely":[9],"sensed":[10],"images,":[11],"visual":[12],"question":[13,58,113],"for":[15,106],"remote":[16],"sensing":[17],"data":[18],"(RSVQA)":[19],"has":[20],"attracted":[21],"much":[22],"attention":[23],"nowadays.":[24],"However,":[25],"previous":[26],"works":[27],"in":[28,80,97,127],"RSVQA":[29,46,109,133],"have":[30],"focused":[31],"little":[32],"robustness":[35,130],"RSVQA.":[37],"As":[38],"we":[39,73,100],"aim":[40],"to":[41,49,76,82],"enhance":[42],"reliability":[44],"models,":[47],"how":[48],"learn":[50],"robust":[51,108],"representations":[52],"against":[53,111],"new":[54],"words":[55],"and":[56,115],"different":[57],"templates":[59,114],"with":[60,86],"same":[62,88],"meaning":[63],"is":[64,125],"key":[66],"challenge.":[67],"With":[68],"proposed":[70,122],"augmented":[71,123],"dataset,":[72],"are":[74],"able":[75],"obtain":[77],"more":[78],"addition":[81],"original":[84],"ones":[85],"meaning.":[89],"To":[90],"make":[91],"better":[92],"use":[93],"this":[95,98],"information,":[96],"study,":[99],"propose":[101],"a":[102],"contrastive":[103,138],"learning":[104,139],"strategy":[105,140],"training":[107],"models":[110],"diverse":[112],"words.":[116],"Experimental":[117],"results":[118],"demonstrate":[119],"that":[120],"dataset":[124],"effective":[126],"improving":[128],"model.":[134],"In":[135],"addition,":[136],"performs":[141],"well":[142],"low":[145],"resolution":[146],"(LR)":[147],"dataset.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}