{"id":"https://openalex.org/W4387171408","doi":"https://doi.org/10.3233/faia230622","title":"DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition","display_name":"DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387171408","doi":"https://doi.org/10.3233/faia230622"},"language":"en","primary_location":{"id":"doi:10.3233/faia230622","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230622","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230622","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230622","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100319962","display_name":"Xinyue Zhang","orcid":"https://orcid.org/0000-0002-4243-083X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyue Zhang","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Institute of AI for Education, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Institute of AI for Education, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062631100","display_name":"Xiang Jing","orcid":"https://orcid.org/0000-0001-9088-365X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xiang","raw_affiliation_strings":["MoE Engineering Research Center of SW/HW Co-design Technology and Application, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Engineering Research Center of SW/HW Co-design Technology and Application, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104151335","display_name":"Hanxiu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanxiu Zhang","raw_affiliation_strings":["MoE Engineering Research Center of SW/HW Co-design Technology and Application, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Engineering Research Center of SW/HW Co-design Technology and Application, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074104093","display_name":"Chunwei Wu","orcid":"https://orcid.org/0000-0001-6209-3714"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunwei Wu","raw_affiliation_strings":["MoE Engineering Research Center of SW/HW Co-design Technology and Application, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Engineering Research Center of SW/HW Co-design Technology and Application, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330269","display_name":"Hailing Wang","orcid":"https://orcid.org/0000-0001-9063-4151"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailing Wang","raw_affiliation_strings":["MoE Engineering Research Center of SW/HW Co-design Technology and Application, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Engineering Research Center of SW/HW Co-design Technology and Application, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027627793","display_name":"Guitao Cao","orcid":"https://orcid.org/0000-0002-4059-4806"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guitao Cao","raw_affiliation_strings":["MoE Engineering Research Center of SW/HW Co-design Technology and Application, East China Normal University, Shanghai, China","Shanghai Institute of AI for Education, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Engineering Research Center of SW/HW Co-design Technology and Application, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Institute of AI for Education, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027627793"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.8138,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78885512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9944000244140625,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9944000244140625,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9866999983787537,"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":0.7458518743515015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6421197652816772},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5885358452796936},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5806516408920288},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5378619432449341},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.46594110131263733},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.44185197353363037},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41655397415161133},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4142827093601227},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.412602961063385},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.41000932455062866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3987143933773041},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37273040413856506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3412593603134155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7458518743515015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6421197652816772},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5885358452796936},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5806516408920288},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5378619432449341},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.46594110131263733},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.44185197353363037},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41655397415161133},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4142827093601227},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.412602961063385},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.41000932455062866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3987143933773041},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37273040413856506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3412593603134155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230622","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230622","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230622","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230622","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230622","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230622","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"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/W4387171408.pdf","grobid_xml":"https://content.openalex.org/works/W4387171408.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1784731433","https://openalex.org/W1950412479","https://openalex.org/W2003856922","https://openalex.org/W2074356411","https://openalex.org/W2075456404","https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2253891449","https://openalex.org/W2295107390","https://openalex.org/W2347880541","https://openalex.org/W2513550067","https://openalex.org/W2517991028","https://openalex.org/W2553156677","https://openalex.org/W2604773025","https://openalex.org/W2618530766","https://openalex.org/W2738853914","https://openalex.org/W2741630455","https://openalex.org/W2751117407","https://openalex.org/W2793857798","https://openalex.org/W2887175137","https://openalex.org/W2963795442","https://openalex.org/W2963992782","https://openalex.org/W2970971581","https://openalex.org/W2971765953","https://openalex.org/W2977614550","https://openalex.org/W2989684529","https://openalex.org/W2997168619","https://openalex.org/W3042085267","https://openalex.org/W3091069321","https://openalex.org/W3205541546","https://openalex.org/W3207379732","https://openalex.org/W3211094633","https://openalex.org/W4225650823","https://openalex.org/W4295312788","https://openalex.org/W4319317266","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799"],"abstract_inverted_index":{"Visual":[0],"sentiment":[1,118,158],"recognition":[2],"is":[3],"a":[4,41,62],"challenging":[5],"task":[6],"with":[7,78,148],"scientific":[8],"significance":[9],"in":[10,120],"probing":[11],"vision-processing":[12],"mechanisms.":[13],"Recent":[14],"approaches":[15],"mainly":[16],"focused":[17],"on":[18,171],"using":[19],"overall":[20],"images":[21],"or":[22,38],"precise":[23],"annotations":[24],"to":[25,31,40,93,110],"learn":[26],"emotional":[27],"representations,":[28],"yet":[29],"neglected":[30],"capture":[32],"abstract":[33],"semantics":[34],"from":[35],"regional":[36,72],"information,":[37],"led":[39],"heavy":[42],"annotation":[43],"burden.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"an":[50],"end-to-end":[51],"weakly":[52],"supervised":[53],"framework,":[54],"called":[55],"Dual":[56],"Coding":[57],"Network":[58],"(DCNet),":[59],"which":[60,137],"models":[61],"dual":[63],"coding":[64],"process":[65],"for":[66,156],"both":[67],"shallow":[68],"features":[69,87,147],"and":[70,152],"high-level":[71],"information.":[73],"On":[74,100],"the":[75,79,82,95,101,104,112,125,129,143,164,168],"one":[76],"hand,":[77,103],"help":[80],"of":[81,97,115,131],"fine-grained":[83,146],"module":[84],"(FG),":[85],"visual":[86,117],"(e.g.":[88],"texture":[89],"features)":[90],"are":[91],"utilized":[92],"enhance":[94],"learning":[96],"distinguished":[98],"representation.":[99],"other":[102],"DCNet":[105,144,166],"innovatively":[106],"leverages":[107],"saliency":[108,126],"information":[109,127],"imitate":[111],"neural":[113],"decoding":[114],"perceived":[116],"contents":[119],"human":[121],"brain":[122],"activity.":[123],"Specifically,":[124],"guides":[128],"generation":[130],"sentiment-specific":[132],"pseudo":[133,149],"affective":[134,150],"maps":[135],"(SAMG),":[136],"serve":[138],"as":[139],"weak":[140],"annotations.":[141],"Then":[142],"couples":[145],"maps,":[151],"obtains":[153],"semantic":[154],"vectors":[155],"final":[157],"prediction.":[159],"Extensive":[160],"experiments":[161],"show":[162],"that":[163],"proposed":[165],"outperforms":[167],"state-of-the-art":[169],"performance":[170],"five":[172],"benchmark":[173],"datasets.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}