{"id":"https://openalex.org/W4312846625","doi":"https://doi.org/10.1007/978-3-031-20074-8_9","title":"A-OKVQA: A Benchmark for\u00a0Visual Question Answering Using World Knowledge","display_name":"A-OKVQA: A Benchmark for\u00a0Visual Question Answering Using World Knowledge","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312846625","doi":"https://doi.org/10.1007/978-3-031-20074-8_9"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-20074-8_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-20074-8_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5007645100","display_name":"Dustin Schwenk","orcid":"https://orcid.org/0000-0003-1666-6889"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dustin Schwenk","raw_affiliation_strings":["PRIOR @ Allen Institute for AI, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PRIOR @ Allen Institute for AI, Seattle, USA","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102495360","display_name":"Apoorv Khandelwal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Apoorv Khandelwal","raw_affiliation_strings":["PRIOR @ Allen Institute for AI, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PRIOR @ Allen Institute for AI, Seattle, USA","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020085226","display_name":"Christopher Clark","orcid":"https://orcid.org/0009-0007-2558-7396"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Clark","raw_affiliation_strings":["PRIOR @ Allen Institute for AI, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PRIOR @ Allen Institute for AI, Seattle, USA","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049334187","display_name":"Kenneth Marino","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth Marino","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070375939","display_name":"Roozbeh Mottaghi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Roozbeh Mottaghi","raw_affiliation_strings":["PRIOR @ Allen Institute for AI, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PRIOR @ Allen Institute for AI, Seattle, USA","institution_ids":["https://openalex.org/I4210140341"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070375939"],"corresponding_institution_ids":["https://openalex.org/I4210140341"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":222,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"146","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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":1.0,"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":0.998199999332428,"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":0.994700014591217,"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/question-answering","display_name":"Question answering","score":0.8781906366348267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8511778116226196},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.725036084651947},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.6978621482849121},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.6724364757537842},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.636441171169281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6281548142433167},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6278398036956787},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5605354905128479},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.509589672088623},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5059284567832947},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.46429261565208435},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.44485679268836975},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4446403682231903},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.4243434965610504},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.41857436299324036},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11905601620674133},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09319785237312317}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8781906366348267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8511778116226196},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.725036084651947},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.6978621482849121},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.6724364757537842},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.636441171169281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6281548142433167},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6278398036956787},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5605354905128479},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.509589672088623},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5059284567832947},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.46429261565208435},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.44485679268836975},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4446403682231903},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.4243434965610504},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.41857436299324036},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11905601620674133},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09319785237312317},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-20074-8_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-20074-8_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1933349210","https://openalex.org/W1983927101","https://openalex.org/W2016089260","https://openalex.org/W2034603029","https://openalex.org/W2194775991","https://openalex.org/W2202226326","https://openalex.org/W2250539671","https://openalex.org/W2277195237","https://openalex.org/W2560730294","https://openalex.org/W2561715562","https://openalex.org/W2745461083","https://openalex.org/W2886641317","https://openalex.org/W2947312908","https://openalex.org/W2962749469","https://openalex.org/W2963037330","https://openalex.org/W2963115613","https://openalex.org/W2963477107","https://openalex.org/W2963518342","https://openalex.org/W2963532001","https://openalex.org/W2963609017","https://openalex.org/W2963890755","https://openalex.org/W2964061310","https://openalex.org/W2964303913","https://openalex.org/W2966317026","https://openalex.org/W2970231061","https://openalex.org/W2979382951","https://openalex.org/W2981852735","https://openalex.org/W2997789966","https://openalex.org/W3034727271","https://openalex.org/W3135279933","https://openalex.org/W3135367836","https://openalex.org/W3157008829","https://openalex.org/W3172845486","https://openalex.org/W3173220247","https://openalex.org/W3199693760","https://openalex.org/W3207166518","https://openalex.org/W4312381519","https://openalex.org/W4312643954","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W4313191056","https://openalex.org/W3021007069","https://openalex.org/W2928107702","https://openalex.org/W3190822525","https://openalex.org/W4320086306","https://openalex.org/W4389518870","https://openalex.org/W3091195047","https://openalex.org/W2981750021","https://openalex.org/W4302773889","https://openalex.org/W2943368643"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":28},{"year":2025,"cited_by_count":88},{"year":2024,"cited_by_count":71},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}