{"id":"https://openalex.org/W4387802680","doi":"https://doi.org/10.1109/igarss52108.2023.10282946","title":"Overcoming Language Bias in Remote Sensing Visual Question Answering Via Adversarial Training","display_name":"Overcoming Language Bias in Remote Sensing Visual Question Answering Via Adversarial Training","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802680","doi":"https://doi.org/10.1109/igarss52108.2023.10282946"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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":false,"raw_author_name":"Zhenghang Yuan","raw_affiliation_strings":["Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany","Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich (TUM),Data Science in Earth Observation,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":["Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany","Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich (TUM),Data Science in Earth Observation,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":["Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany","Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich (TUM),Data Science in Earth Observation,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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.4444,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64330281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2235","last_page":"2238"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9973999857902527,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9909999966621399,"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":0.8216793537139893},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7742576599121094},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7583380937576294},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.609742283821106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5718644261360168},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5694047212600708},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5291383862495422},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5027370452880859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4908373951911926},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.48985645174980164},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42156484723091125},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4075894355773926},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3693879544734955},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1128549575805664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8216793537139893},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7742576599121094},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7583380937576294},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.609742283821106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5718644261360168},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5694047212600708},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5291383862495422},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5027370452880859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4908373951911926},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.48985645174980164},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42156484723091125},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4075894355773926},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3693879544734955},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1128549575805664},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1933349210","https://openalex.org/W3012111773","https://openalex.org/W3082766779","https://openalex.org/W3098351727","https://openalex.org/W3110575265","https://openalex.org/W3205502670","https://openalex.org/W3214192620","https://openalex.org/W4225991573","https://openalex.org/W4229439310","https://openalex.org/W4292828962","https://openalex.org/W4305005880","https://openalex.org/W4378465124","https://openalex.org/W4379806154","https://openalex.org/W6639480849","https://openalex.org/W6803674614","https://openalex.org/W6845668075","https://openalex.org/W6852960253"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3204607391","https://openalex.org/W2964413124","https://openalex.org/W4388937922","https://openalex.org/W3113264705"],"abstract_inverted_index":{"The":[0],"Visual":[1],"Question":[2],"Answering":[3],"(VQA)":[4],"system":[5],"offers":[6],"a":[7,43,99],"user-friendly":[8],"interface":[9],"and":[10,32,113],"enables":[11],"human-computer":[12],"interaction.":[13],"However,":[14],"VQA":[15,53,68],"models":[16],"commonly":[17],"face":[18],"the":[19,26,48,52,66,72,81,90,107,120,141],"challenge":[20],"of":[21,51,94,122],"language":[22,49,85,95,138],"bias,":[23,96],"resulting":[24],"from":[25],"learned":[27],"superficial":[28],"correlation":[29],"between":[30],"questions":[31],"answers.":[33],"To":[34],"address":[35],"this":[36,39],"issue,":[37],"in":[38,92],"study,":[40],"we":[41,60,75,97],"present":[42],"novel":[44],"framework":[45],"to":[46,65,79,88],"reduce":[47],"bias":[50,139],"for":[54,136],"remote":[55],"sensing":[56],"data":[57],"(RSVQA).":[58],"Specifically,":[59],"add":[61],"an":[62],"adversarial":[63,73],"branch":[64],"original":[67],"framework.":[69],"Based":[70],"on":[71,133,140],"branch,":[74],"introduce":[76],"two":[77],"regularizers":[78],"constrain":[80],"training":[82],"process":[83],"against":[84],"bias.":[86],"Furthermore,":[87],"evaluate":[89],"performance":[91,108],"terms":[93],"propose":[98],"new":[100],"metric":[101],"that":[102,127],"combines":[103],"standard":[104],"accuracy":[105],"with":[106],"drop":[109],"when":[110],"incorporating":[111],"question":[112],"random":[114],"image":[115],"information.":[116],"Experimental":[117],"results":[118],"demonstrate":[119],"effectiveness":[121],"our":[123,128],"method.":[124],"We":[125],"believe":[126],"method":[129],"can":[130],"shed":[131],"light":[132],"future":[134],"work":[135],"reducing":[137],"RSVQA":[142],"task.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
