{"id":"https://openalex.org/W3179965609","doi":"https://doi.org/10.1109/tgrs.2022.3180068","title":"Multiattention Generative Adversarial Network for Remote Sensing Image Super-Resolution","display_name":"Multiattention Generative Adversarial Network for Remote Sensing Image Super-Resolution","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3179965609","doi":"https://doi.org/10.1109/tgrs.2022.3180068","mag":"3179965609"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3180068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3180068","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5035753061","display_name":"Sen Jia","orcid":"https://orcid.org/0000-0001-9742-5037"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Jia","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003972","display_name":"Zhihao Wang","orcid":"https://orcid.org/0000-0002-7610-3837"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Wang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404067","display_name":"Qingquan Li","orcid":"https://orcid.org/0000-0002-2438-6046"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingquan Li","raw_affiliation_strings":["Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China","Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038002446","display_name":"Meng Xu","orcid":"https://orcid.org/0000-0002-4056-7787"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Xu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035753061"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":8.5618,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.98543236,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9968000054359436,"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/upsampling","display_name":"Upsampling","score":0.8482072353363037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7942065596580505},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7129528522491455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6562992930412292},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5128803253173828},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.512101411819458},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.49565136432647705},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4802139699459076},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47051921486854553},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.46038129925727844},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44246217608451843},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4328894317150116},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4264650344848633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42136719822883606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3841869533061981},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3487514853477478},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28614336252212524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08481833338737488},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07093846797943115}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8482072353363037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7942065596580505},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7129528522491455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6562992930412292},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5128803253173828},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.512101411819458},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.49565136432647705},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4802139699459076},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47051921486854553},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.46038129925727844},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44246217608451843},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4328894317150116},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4264650344848633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42136719822883606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3841869533061981},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3487514853477478},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28614336252212524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08481833338737488},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07093846797943115},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3180068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3180068","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2264764757","display_name":null,"funder_award_id":"61901278","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2721654555","display_name":null,"funder_award_id":"2022A1515011290","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G3638989402","display_name":null,"funder_award_id":"41971300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5251528771","display_name":null,"funder_award_id":"20200803152531004","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"},{"id":"https://openalex.org/G6222615510","display_name":null,"funder_award_id":"2020ZDZX3045","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"},{"id":"https://openalex.org/G6376546062","display_name":null,"funder_award_id":"2021A1515011413","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320326279","display_name":"Department of Education of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320329801","display_name":"Shenzhen Research and Development Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1601729531","https://openalex.org/W1627216380","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1985806826","https://openalex.org/W2035677848","https://openalex.org/W2049237558","https://openalex.org/W2054515210","https://openalex.org/W2065277358","https://openalex.org/W2094058787","https://openalex.org/W2096919863","https://openalex.org/W2099471712","https://openalex.org/W2157494358","https://openalex.org/W2163935418","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2327302159","https://openalex.org/W2442495293","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2503458650","https://openalex.org/W2557227117","https://openalex.org/W2592962403","https://openalex.org/W2603566245","https://openalex.org/W2607041014","https://openalex.org/W2612585477","https://openalex.org/W2621121458","https://openalex.org/W2741592651","https://openalex.org/W2779571083","https://openalex.org/W2810821452","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2896155169","https://openalex.org/W2901390297","https://openalex.org/W2922509574","https://openalex.org/W2927933146","https://openalex.org/W2952773607","https://openalex.org/W2962903125","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963729050","https://openalex.org/W2964193438","https://openalex.org/W2964350391","https://openalex.org/W2976372274","https://openalex.org/W2982041717","https://openalex.org/W2997019934","https://openalex.org/W3003678947","https://openalex.org/W3005521100","https://openalex.org/W3008141216","https://openalex.org/W3032940603","https://openalex.org/W3036289652","https://openalex.org/W3046108465","https://openalex.org/W3046131703","https://openalex.org/W3091685387","https://openalex.org/W3103856189","https://openalex.org/W3119439276","https://openalex.org/W3129260846","https://openalex.org/W3133531783","https://openalex.org/W3201797941","https://openalex.org/W6631190155","https://openalex.org/W6683590716","https://openalex.org/W6775049737"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W3149642877","https://openalex.org/W3215923428","https://openalex.org/W4328027016","https://openalex.org/W3004135429","https://openalex.org/W3121005460","https://openalex.org/W4312121420"],"abstract_inverted_index":{"Image":[0],"super-resolution":[1],"(SR)":[2],"methods":[3,215],"can":[4],"generate":[5],"remote":[6,30,68,94,220],"sensing":[7,31,69,95,221],"images":[8,70,182],"with":[9,183,212],"high":[10,92],"spatial":[11],"resolution":[12,93],"without":[13],"increasing":[14],"the":[15,27,42,47,63,107,128,149,171,187,201,228,231,237],"cost":[16],"of":[17,29,44,51,66,106,151,168,204,219,230],"acquisition":[18],"equipment,":[19],"thereby":[20],"providing":[21],"a":[22,37,82,217],"feasible":[23],"way":[24],"to":[25,59,90,144,164,178,199],"improve":[26],"quality":[28],"images.":[32],"Clearly,":[33],"image":[34],"SR":[35],"is":[36],"severe":[38],"ill-posed":[39],"problem.":[40],"With":[41],"development":[43],"deep":[45,52],"learning,":[46],"powerful":[48],"fitting":[49],"ability":[50],"neural":[53],"networks":[54],"has":[55],"solved":[56],"this":[57,78],"problem":[58],"some":[60],"extent.":[61],"Since":[62],"texture":[64],"information":[65],"various":[67],"are":[71],"totally":[72],"different":[73],"from":[74],"each":[75],"other,":[76],"in":[77,109,134],"paper,":[79],"we":[80],"proposed":[81,232],"network":[83,88,101],"based":[84],"on":[85,216],"generative":[86,99],"adversarial":[87,100,192],"(GAN)":[89],"achieve":[91],"images,":[96],"named":[97],"multi-attention":[98],"(MA-GAN).":[102],"The":[103,156],"main":[104],"body":[105],"generator":[108],"MA-GAN":[110,210],"contains":[111],"three":[112],"blocks:":[113],"pyramid-convolutional":[114],"residualdense":[115],"(PCRD)":[116],"block,":[117],"attention-based":[118,123],"upsampling":[119],"(AUP)":[120],"block":[121,136,159,173],"and":[122,140,147,194,223],"fusion":[124],"(AF)":[125],"block.":[126],"Specifically,":[127],"developed":[129],"attention-pyramid":[130],"convolutional":[131],"(AttPConv)":[132],"operator":[133],"PCRD":[135],"combines":[137],"multi-scale":[138],"convolution":[139],"channel":[141],"attention":[142,162,176],"(CA)":[143],"automatically":[145],"learn":[146],"adjust":[148],"scale":[150],"residuals":[152],"for":[153],"better":[154],"representation.":[155],"established":[157],"AUP":[158],"utilizes":[160],"pixel":[161],"(PA)":[163],"perform":[165],"arbitrary":[166],"scales":[167],"upsampling.":[169],"And":[170],"AF":[172],"employs":[174],"branch":[175],"(BA)":[177],"integrate":[179],"upsampled":[180],"low-resolution":[181],"high-level":[184],"features.":[185],"Besides,":[186],"loss":[188,193,196],"function":[189],"takes":[190],"both":[191],"feature":[195],"into":[197],"consideration":[198],"guide":[200],"learning":[202],"procedure":[203],"generator.":[205],"We":[206],"have":[207],"compared":[208],"our":[209],"approach":[211],"several":[213],"state-of-the-art":[214],"number":[218],"scenes,":[222],"experimental":[224],"results":[225],"consistently":[226],"demonstrate":[227],"effectiveness":[229],"MA-GAN.":[233],"For":[234],"study":[235],"replication,":[236],"source":[238],"code":[239],"will":[240],"be":[241],"released":[242],"at:":[243],"https://github.com/ZhihaoWang1997/MA-GAN.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
