{"id":"https://openalex.org/W2997072136","doi":"https://doi.org/10.1609/aaai.v34i07.6776","title":"Overcoming Language Priors in VQA via Decomposed Linguistic Representations","display_name":"Overcoming Language Priors in VQA via Decomposed Linguistic Representations","publication_year":2020,"publication_date":"2020-04-03","ids":{"openalex":"https://openalex.org/W2997072136","doi":"https://doi.org/10.1609/aaai.v34i07.6776","mag":"2997072136"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v34i07.6776","doi":"https://doi.org/10.1609/aaai.v34i07.6776","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i07.6776","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v34i07.6776","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068555749","display_name":"Chenchen Jing","orcid":"https://orcid.org/0000-0002-1340-6064","observed_orcids":["https://orcid.org/0000-0002-1340-6064"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenchen Jing","raw_affiliation_strings":["Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071656520","display_name":"Yuwei Wu","orcid":"https://orcid.org/0000-0001-6300-6336","observed_orcids":["https://orcid.org/0000-0001-6300-6336"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei Wu","raw_affiliation_strings":["Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109175228","display_name":"Xiaoxun Zhang","orcid":"https://orcid.org/0000-0003-4326-4893","observed_orcids":["https://orcid.org/0000-0003-4326-4893"]},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxun Zhang","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731042","display_name":"Yunde Jia","orcid":"https://orcid.org/0000-0003-1900-8945","observed_orcids":["https://orcid.org/0000-0003-1900-8945"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunde Jia","raw_affiliation_strings":["Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060958969","display_name":"Qi Wu","orcid":"https://orcid.org/0000-0003-3631-256X","observed_orcids":["https://orcid.org/0000-0003-3631-256X","https://orcid.org/0000-0002-4028-981X"]},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I4405259444","https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qi Wu","raw_affiliation_strings":["University of Adelaide"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Adelaide","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.291,"has_fulltext":true,"cited_by_count":103,"citation_normalized_percentile":{"value":0.95352218,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"34","issue":"07","first_page":"11181","last_page":"11188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","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/T11605","display_name":"Visual Attention and Saliency Detection","score":9.999999747378752e-05,"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/T10028","display_name":"Topic Modeling","score":0.0,"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/visual-question-answering","display_name":"visual question answering","score":0.9959999918937683},{"id":"https://openalex.org/keywords/language-priors","display_name":"language priors","score":0.9860000014305115},{"id":"https://openalex.org/keywords/question-parsing","display_name":"question parsing","score":0.6840000152587891},{"id":"https://openalex.org/keywords/object-representation","display_name":"object representation","score":0.9929999709129333},{"id":"https://openalex.org/keywords/conceptual-representation","display_name":"conceptual representation","score":0.9919999837875366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704626202583313},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6946436166763306},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6412380933761597},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6328491568565369},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6193698644638062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152155995368958},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5307994484901428},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5019333362579346},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4935516119003296},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.061518341302871704},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1609/aaai.v34i07.6776","doi":"https://doi.org/10.1609/aaai.v34i07.6776","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i07.6776","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/6776","doi":null,"is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/6776","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/6776/6630","source":{"id":"https://openalex.org/S4306400155","display_name":"AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801652627","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/I2801652627"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/133677","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/2440/133677","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://aaai.org/Library/AAAI/aaai20contents-issue07.php","raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1609/aaai.v34i07.6776","doi":"https://doi.org/10.1609/aaai.v34i07.6776","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i07.6776","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1417917525","display_name":null,"funder_award_id":"61702037","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/W2997072136.pdf","grobid_xml":"https://content.openalex.org/works/W2997072136.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1933349210","https://openalex.org/W2133280805","https://openalex.org/W2157331557","https://openalex.org/W2250539671","https://openalex.org/W2416885651","https://openalex.org/W2463565445","https://openalex.org/W2558535589","https://openalex.org/W2560730294","https://openalex.org/W2561715562","https://openalex.org/W2563399268","https://openalex.org/W2597425697","https://openalex.org/W2613404084","https://openalex.org/W2745461083","https://openalex.org/W2771951981","https://openalex.org/W2786209943","https://openalex.org/W2883104598","https://openalex.org/W2885380450","https://openalex.org/W2890952061","https://openalex.org/W2903371384","https://openalex.org/W2904742344","https://openalex.org/W2916723116","https://openalex.org/W2934463783","https://openalex.org/W2950635152","https://openalex.org/W2962685807","https://openalex.org/W2962781483","https://openalex.org/W2963383024","https://openalex.org/W2963954913","https://openalex.org/W2964067226","https://openalex.org/W2964072591","https://openalex.org/W2964345792"],"related_works":["https://openalex.org/W4296545309","https://openalex.org/W4210484952","https://openalex.org/W2944668088","https://openalex.org/W3172438304","https://openalex.org/W2890952061","https://openalex.org/W4406657931","https://openalex.org/W3034287395","https://openalex.org/W4402979950","https://openalex.org/W4405040560","https://openalex.org/W3192587235"],"abstract_inverted_index":{"Most":[0],"existing":[1],"Visual":[2],"Question":[3],"Answering":[4],"(VQA)":[5],"models":[6],"overly":[7],"rely":[8],"on":[9,98,147],"language":[10,25,44,50,139],"priors":[11,140],"between":[12],"questions":[13,34],"and":[14,35,65,78,92,127],"answers.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19],"present":[20],"a":[21,48,55],"novel":[22],"method":[23,121],"of":[24,33,102,134,154],"attention-based":[26],"VQA":[27],"that":[28],"learns":[29],"decomposed":[30],"linguistic":[31],"representations":[32,38],"utilizes":[36],"the":[37,70,75,79,93,99,111,116,123,132,143,148,152],"to":[39,53,73,96,114,137],"infer":[40,115],"answers":[41],"for":[42],"overcoming":[43],"priors.":[45],"We":[46,68],"introduce":[47],"modular":[49],"attention":[51],"mechanism":[52],"parse":[54],"question":[56,76],"into":[57],"three":[58],"phrase":[59],"representations:":[60],"type":[61,71,77],"representation,":[62,64],"object":[63,94],"concept":[66,106,125,129],"representation.":[67],"use":[69],"representation":[72,95,107],"identify":[74],"possible":[80],"answer":[81,135],"set":[82],"(yes/no":[83],"or":[84,90],"specific":[85],"concepts":[86],"such":[87],"as":[88],"colors":[89],"numbers),":[91],"focus":[97],"relevant":[100],"region":[101,113],"an":[103],"image.":[104],"The":[105,119],"is":[108],"verified":[109],"with":[110],"attended":[112],"final":[117],"answer.":[118],"proposed":[120],"decouples":[122],"language-based":[124],"discovery":[126],"vision-based":[128],"verification":[130],"in":[131],"process":[133],"inference":[136],"prevent":[138],"from":[141],"dominating":[142],"answering":[144],"process.":[145],"Experiments":[146],"VQA-CP":[149],"dataset":[150],"demonstrate":[151],"effectiveness":[153],"our":[155],"method.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":8}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-01-10T00:00:00"}
