{"id":"https://openalex.org/W3094412815","doi":"https://doi.org/10.1145/3422713.3422732","title":"Super-resolution Convolutional Neural Networks","display_name":"Super-resolution Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-09-18","ids":{"openalex":"https://openalex.org/W3094412815","doi":"https://doi.org/10.1145/3422713.3422732","mag":"3094412815"},"language":"en","primary_location":{"id":"doi:10.1145/3422713.3422732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3422713.3422732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Big Data Technologies","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/A5100700428","display_name":"Yan Wen","orcid":"https://orcid.org/0000-0002-3962-5994"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Wen","raw_affiliation_strings":["School of Mechanical and Electronic, Engineering, Suzhou University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electronic, Engineering, Suzhou University, Suzhou, China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107973165","display_name":"Yi Shao","orcid":"https://orcid.org/0009-0001-1728-9758"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Shao","raw_affiliation_strings":["School of Mechanical and Electronic, Engineering, Suzhou University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electronic, Engineering, Suzhou University, Suzhou, China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102376090","display_name":"Jihua Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jihua Cao","raw_affiliation_strings":["School of Mechanical and Electronic Engineering, Suzhou University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electronic Engineering, Suzhou University, Suzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100700428"],"corresponding_institution_ids":["https://openalex.org/I308837"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11630369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"172","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.7736293077468872},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7208477258682251},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6817102432250977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6567876935005188},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6462546586990356},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5526351928710938},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5252254009246826},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4684009253978729},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.467191219329834},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4491252899169922},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3640395998954773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22348642349243164},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0964326560497284},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09019103646278381}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736293077468872},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7208477258682251},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6817102432250977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6567876935005188},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6462546586990356},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5526351928710938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5252254009246826},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4684009253978729},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.467191219329834},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4491252899169922},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3640395998954773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22348642349243164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0964326560497284},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09019103646278381},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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:10.1145/3422713.3422732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3422713.3422732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Big Data Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W654550266","https://openalex.org/W1971822075","https://openalex.org/W1998042868","https://openalex.org/W2056435187","https://openalex.org/W2127043004","https://openalex.org/W2146835493","https://openalex.org/W2194775991","https://openalex.org/W2565262489","https://openalex.org/W2592175858","https://openalex.org/W2593572697","https://openalex.org/W2752782242","https://openalex.org/W2923906479","https://openalex.org/W3003312382","https://openalex.org/W3107840264","https://openalex.org/W4236965008","https://openalex.org/W4249502209","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W4321441197","https://openalex.org/W4297807321","https://openalex.org/W4387947405"],"abstract_inverted_index":{"ASTER":[0,42,134],"network":[1,19,48,74,128,156],"has":[2],"the":[3,18,35,45,53,68,72,86,93,100,111,126,133,155,175],"characteristics":[4],"of":[5,14,38,71,95,154,162],"high":[6],"precision":[7],"and":[8,62,103,109,118],"fast":[9],"speed":[10],"in":[11,189],"text":[12,39,146,191],"recognition":[13,88,147],"natural":[15],"scenes.":[16],"However,":[17],"is":[20,49,90,97,129,149,184],"significantly":[21],"less":[22],"effective":[23],"at":[24],"identifying":[25],"low-resolution":[26],"images.":[27],"To":[28],"tackle":[29],"this":[30,32],"problem,":[31],"paper":[33],"introduces":[34],"super-resolution":[36],"reconstruction":[37],"images":[40],"before":[41,108],"network.":[43,135],"First,":[44],"improved":[46],"residual":[47,73],"used":[50],"to":[51,83,114,132,186],"reconstruct":[52],"image":[54,116,120,124],"with":[55],"super-resolution.":[56],"The":[57,122,151],"batch":[58],"normalization":[59],"(BN)":[60],"layer":[61,64,70,102,105],"DESENE":[63],"are":[65,106,164],"added":[66,107],"after":[67,110],"convolutional":[69,101,141],"(ResNet),":[75],"termed":[76],"as":[77],"modification":[78],"ResNet":[79],"block":[80],"(MRB).":[81],"According":[82],"experimental":[84,168,176],"results,":[85],"highest":[87],"rate":[89],"achieved":[91],"when":[92],"number":[94,161],"MRB":[96,112],"3.":[98],"Second,":[99],"ReLu":[104],"module":[113],"obtain":[115],"features":[117],"improve":[119],"resolution.":[121],"clear":[123],"from":[125],"reconstructed":[127],"then":[130],"sent":[131],"Finally,":[136],"an":[137],"end-to-end":[138],"network,":[139],"Super-resolution":[140],"neural":[142],"networks":[143],"for":[144],"scene":[145,190],"(SRTR),":[148],"established.":[150],"monitoring":[152],"function":[153],"adopts":[157],"MSELoss.":[158],"A":[159],"large":[160],"experiments":[163],"conducted":[165],"on":[166],"standard":[167],"data":[169],"sets":[170],"SVTP,":[171],"CUTE,":[172],"ICDAR2015.":[173],"From":[174],"data,":[177],"we":[178],"can":[179],"see":[180],"that":[181],"our":[182],"model":[183],"superior":[185],"other":[187],"methods":[188],"recognition.":[192]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
