{"id":"https://openalex.org/W3006738434","doi":"https://doi.org/10.1145/3376067.3376082","title":"MDAnet","display_name":"MDAnet","publication_year":2019,"publication_date":"2019-12-20","ids":{"openalex":"https://openalex.org/W3006738434","doi":"https://doi.org/10.1145/3376067.3376082","mag":"3006738434"},"language":"en","primary_location":{"id":"doi:10.1145/3376067.3376082","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3376067.3376082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Video and Image Processing","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/A5000949046","display_name":"Junyi Feng","orcid":"https://orcid.org/0000-0003-0341-333X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junyi Feng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021166773","display_name":"Ping Gong","orcid":"https://orcid.org/0000-0002-4782-1741"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Gong","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101573221","display_name":"Guanghui Qiu","orcid":"https://orcid.org/0000-0001-9876-2158"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Qiu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000949046"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18198227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/computer-science","display_name":"Computer science","score":0.4889353811740875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4889353811740875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3376067.3376082","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3376067.3376082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Video and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2064675550","https://openalex.org/W2216949779","https://openalex.org/W2255577267","https://openalex.org/W2288122362","https://openalex.org/W2337897552","https://openalex.org/W2460515352","https://openalex.org/W2532034655","https://openalex.org/W2552110825","https://openalex.org/W2561715562","https://openalex.org/W2563399268","https://openalex.org/W2613718673","https://openalex.org/W2745461083","https://openalex.org/W2770883544","https://openalex.org/W2787119853","https://openalex.org/W2796001012","https://openalex.org/W2884093133","https://openalex.org/W2884585870","https://openalex.org/W2902100037","https://openalex.org/W2916723116","https://openalex.org/W2949847915","https://openalex.org/W2951559372","https://openalex.org/W2962731754","https://openalex.org/W2962992847","https://openalex.org/W2963176022","https://openalex.org/W2963403868","https://openalex.org/W2963560969","https://openalex.org/W2963571341","https://openalex.org/W2963656855","https://openalex.org/W2963938081","https://openalex.org/W3106250896","https://openalex.org/W4385245566","https://openalex.org/W6688365552","https://openalex.org/W6732958910","https://openalex.org/W6739901393","https://openalex.org/W6753412334","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"The":[0,77],"majority":[1],"of":[2],"existing":[3],"methods":[4],"for":[5,28],"Visual":[6],"Question":[7],"Answering":[8],"are":[9],"primarily":[10],"based":[11],"on":[12,82],"Recurrent":[13],"Neural":[14],"Networks(RNNs)":[15],"with":[16],"attention":[17],"to":[18,45,54,70],"extract":[19],"question":[20],"features":[21],"and":[22,57,67,85,87],"outputs":[23],"the":[24,33],"last":[25,34],"hidden":[26,35],"state":[27,36],"modal":[29],"fusion.":[30],"However,":[31],"only":[32],"cannot":[37],"preserve":[38],"precise":[39],"location":[40],"information,":[41],"which":[42,63],"may":[43],"lead":[44],"semantic":[46],"confusion.":[47],"Our":[48],"work":[49],"adopts":[50],"Multiple":[51],"Encoder":[52],"Block":[53],"replace":[55],"RNNs,":[56],"propose":[58],"a":[59],"Double":[60],"Attention":[61,66,69],"Module":[62],"includes":[64],"Objective":[65],"Spatial":[68],"acquire":[71],"more":[72],"important":[73],"regions":[74],"or":[75],"objects.":[76],"proposed":[78],"method":[79],"is":[80],"evaluated":[81],"VQA":[83],"2.0":[84],"CLEVR,":[86],"obtain":[88],"competitive":[89],"result.":[90]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-03-06T00:00:00"}