{"id":"https://openalex.org/W2945694320","doi":"https://doi.org/10.1145/3318299.3318305","title":"Feature Fusion Attention Visual Question Answering","display_name":"Feature Fusion Attention Visual Question Answering","publication_year":2019,"publication_date":"2019-02-22","ids":{"openalex":"https://openalex.org/W2945694320","doi":"https://doi.org/10.1145/3318299.3318305","mag":"2945694320"},"language":"en","primary_location":{"id":"doi:10.1145/3318299.3318305","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","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/A5100683869","display_name":"Chunlin Wang","orcid":"https://orcid.org/0000-0003-4675-1355"},"institutions":[{"id":"https://openalex.org/I4210143356","display_name":"Chuxiong Normal University","ror":"https://ror.org/04c14yn55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlin Wang","raw_affiliation_strings":["School of Information Science & Technology Chuxiong Normal University, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science & Technology Chuxiong Normal University, P.R. China","institution_ids":["https://openalex.org/I4210143356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005474942","display_name":"Jianyong Sun","orcid":"https://orcid.org/0000-0002-9188-1856"},"institutions":[{"id":"https://openalex.org/I4210143356","display_name":"Chuxiong Normal University","ror":"https://ror.org/04c14yn55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyong Sun","raw_affiliation_strings":["School of Information Science & Technology Chuxiong Normal University, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science & Technology Chuxiong Normal University, P.R. China","institution_ids":["https://openalex.org/I4210143356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100693591","display_name":"Xiaolin Chen","orcid":"https://orcid.org/0000-0003-4638-0603"},"institutions":[{"id":"https://openalex.org/I4210143356","display_name":"Chuxiong Normal University","ror":"https://ror.org/04c14yn55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Chen","raw_affiliation_strings":["School of Information Science & Technology Chuxiong Normal University, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science & Technology Chuxiong Normal University, P.R. China","institution_ids":["https://openalex.org/I4210143356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1017,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.41940259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"412","last_page":"416"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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":0.9921000003814697,"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/question-answering","display_name":"Question answering","score":0.9127380847930908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7835401296615601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.680727481842041},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6219632029533386},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6169529557228088},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5335747599601746},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5329820513725281},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5306932926177979},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5008389949798584},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5002374649047852},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.47214773297309875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4557095170021057},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4540768563747406},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.42173510789871216},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08121567964553833}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.9127380847930908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7835401296615601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.680727481842041},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6219632029533386},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6169529557228088},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5335747599601746},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5329820513725281},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5306932926177979},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5008389949798584},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5002374649047852},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.47214773297309875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4557095170021057},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4540768563747406},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.42173510789871216},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08121567964553833},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3318299.3318305","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1686810756","https://openalex.org/W1933349210","https://openalex.org/W2064675550","https://openalex.org/W2133564696","https://openalex.org/W2163605009","https://openalex.org/W2412393473","https://openalex.org/W2532034655","https://openalex.org/W2732016772","https://openalex.org/W2949197413","https://openalex.org/W2950178297","https://openalex.org/W2950761309","https://openalex.org/W2963176022","https://openalex.org/W2963383024","https://openalex.org/W2963954913","https://openalex.org/W6607333740","https://openalex.org/W6611349063"],"related_works":["https://openalex.org/W3157284875","https://openalex.org/W2259406085","https://openalex.org/W2099715052","https://openalex.org/W4226247999","https://openalex.org/W4213176082","https://openalex.org/W2187398150","https://openalex.org/W3209772662","https://openalex.org/W4200629926","https://openalex.org/W4220955952","https://openalex.org/W4226470070"],"abstract_inverted_index":{"Visual":[0],"Question":[1],"Answering":[2],"(VQA)":[3],"is":[4,17,106],"the":[5,20,36,41,51,54,70,78,84,89,92,98,102,110,114,116,119,123],"multitask":[6],"research":[7],"field":[8],"of":[9,19,118],"computer":[10],"vision":[11],"and":[12,16,33,66,72,95],"natural":[13],"language":[14],"processing":[15],"one":[18],"most":[21],"intelligent":[22],"applications":[23,27],"among":[24],"machine":[25],"learning":[26],"at":[28],"present.":[29],"It":[30],"firstly":[31],"analyzes":[32],"copes":[34],"with":[35],"problem":[37,64],"sentences":[38,65],"to":[39,108,128],"extract":[40],"core":[42],"key":[43],"words":[44],"as":[45,47],"well":[46],"then":[48],"seeking":[49],"out":[50],"answers":[52,99],"from":[53,63],"figure.":[55],"In":[56],"our":[57],"research,":[58],"it":[59],"extracts":[60],"characteristic":[61],"values":[62,79],"images":[67],"by":[68,121],"adopting":[69],"BI-LSTM":[71],"VGG_19":[73],"algorithms.":[74],"Then,":[75],"after":[76],"integrating":[77],"into":[80,88],"new":[81],"feature":[82],"vectors,":[83],"paper":[85],"correlates":[86],"them":[87],"attention":[90,93],"through":[91],"mechanism":[94],"finally":[96],"predicts":[97],"finally.":[100],"Also,":[101],"VQA1.0":[103],"data":[104],"set":[105,125],"adopted":[107],"train":[109],"model.":[111],"After":[112],"conducting":[113],"training,":[115],"accuracy":[117],"test":[120,124],"using":[122],"reached":[126],"up":[127],"54.8%.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}