{"id":"https://openalex.org/W2917823630","doi":"https://doi.org/10.1145/3282445","title":"Symmetrical Residual Connections for Single Image Super-Resolution","display_name":"Symmetrical Residual Connections for Single Image Super-Resolution","publication_year":2019,"publication_date":"2019-02-25","ids":{"openalex":"https://openalex.org/W2917823630","doi":"https://doi.org/10.1145/3282445","mag":"2917823630"},"language":"en","primary_location":{"id":"doi:10.1145/3282445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3282445","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5101795786","display_name":"Xianguo Li","orcid":"https://orcid.org/0000-0003-3761-8683"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianguo Li","raw_affiliation_strings":["Tianjin Polytechnic University; Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China","Tianjin Polytechnic University"],"affiliations":[{"raw_affiliation_string":"Tianjin Polytechnic University; Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]},{"raw_affiliation_string":"Tianjin Polytechnic University","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101090239","display_name":"Yemei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yemei Sun","raw_affiliation_strings":["Tianjin Polytechnic University; Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China","Tianjin Polytechnic University"],"affiliations":[{"raw_affiliation_string":"Tianjin Polytechnic University; Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]},{"raw_affiliation_string":"Tianjin Polytechnic University","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030659829","display_name":"Yanli Yang","orcid":"https://orcid.org/0000-0003-1919-8857"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Yang","raw_affiliation_strings":["Tianjin Polytechnic University; Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China","Tianjin Polytechnic University"],"affiliations":[{"raw_affiliation_string":"Tianjin Polytechnic University; Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]},{"raw_affiliation_string":"Tianjin Polytechnic University","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012960779","display_name":"Changyun Miao","orcid":"https://orcid.org/0000-0002-8145-9678"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyun Miao","raw_affiliation_strings":["Tianjin Polytechnic University; Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China","Tianjin Polytechnic University"],"affiliations":[{"raw_affiliation_string":"Tianjin Polytechnic University; Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]},{"raw_affiliation_string":"Tianjin Polytechnic University","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101795786"],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":null,"apc_paid":null,"fwci":0.4194,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.63944901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"15","issue":"1","first_page":"1","last_page":"10"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8916589021682739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8136738538742065},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7498287558555603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5886557102203369},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5832754373550415},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.5211227536201477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4935070276260376},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.455030232667923},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4446646273136139},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.442986398935318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40069761872291565},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.34693533182144165},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.054806530475616455}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8916589021682739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8136738538742065},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7498287558555603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5886557102203369},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5832754373550415},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.5211227536201477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4935070276260376},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.455030232667923},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4446646273136139},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.442986398935318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40069761872291565},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.34693533182144165},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.054806530475616455},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3282445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3282445","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W935139217","https://openalex.org/W968293391","https://openalex.org/W1522734439","https://openalex.org/W1686810756","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1930824406","https://openalex.org/W1950594372","https://openalex.org/W1976416062","https://openalex.org/W2010070459","https://openalex.org/W2047920195","https://openalex.org/W2098506229","https://openalex.org/W2107878631","https://openalex.org/W2112796928","https://openalex.org/W2121058967","https://openalex.org/W2137577104","https://openalex.org/W2150081556","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2274287116","https://openalex.org/W2302255633","https://openalex.org/W2534320940","https://openalex.org/W2604790786","https://openalex.org/W2607041014","https://openalex.org/W2741137940","https://openalex.org/W2792275277","https://openalex.org/W2963470893","https://openalex.org/W2964125708","https://openalex.org/W4300939921","https://openalex.org/W4377561911"],"related_works":["https://openalex.org/W4389989350","https://openalex.org/W3049172720","https://openalex.org/W4379117832","https://openalex.org/W3122142891","https://openalex.org/W3131720768","https://openalex.org/W4292172049","https://openalex.org/W4296995023","https://openalex.org/W2070173637","https://openalex.org/W3097784260","https://openalex.org/W3118545013"],"abstract_inverted_index":{"Single-image":[0],"super-resolution":[1,136],"(SISR)":[2],"methods":[3],"based":[4,119],"on":[5,120],"convolutional":[6],"neural":[7],"networks":[8],"(CNN)":[9],"have":[10,23],"shown":[11],"great":[12],"potential":[13],"in":[14,51,142],"the":[15,31,42,75,78,97,102,106,114,125],"literature.":[16],"However,":[17],"most":[18],"deep":[19],"CNN":[20,137],"models":[21],"don\u2019t":[22],"direct":[24],"access":[25],"to":[26,37,72,100,112],"subsequent":[27],"layers,":[28,48],"seriously":[29],"hindering":[30],"information":[32],"flow.":[33],"Furthermore,":[34],"they":[35],"fail":[36],"make":[38],"full":[39],"use":[40],"of":[41,109,127],"hierarchical":[43],"features":[44],"from":[45],"different":[46],"low-level":[47],"thereby":[49],"resulting":[50],"relatively":[52],"low":[53],"accuracy.":[54],"In":[55],"this":[56],"article,":[57],"we":[58],"present":[59],"a":[60,83],"new":[61],"SISR":[62],"CNN,":[63],"called":[64],"SymSR,":[65],"which":[66],"incorporates":[67],"symmetrical":[68,128],"nested":[69],"residual":[70,129],"connections":[71],"improve":[73,101],"both":[74,143],"accuracy":[76,103,144],"and":[77,104,145],"execution":[79],"speed.":[80,116],"SymSR":[81,139],"takes":[82],"larger":[84],"image":[85],"region":[86],"for":[87,96,105],"contextual":[88],"spreading.":[89],"It":[90],"symmetrically":[91],"combines":[92],"multiple":[93],"short":[94],"paths":[95],"forward":[98],"propagation":[99,108],"backward":[107],"gradient":[110],"flow":[111],"accelerate":[113],"convergence":[115],"Extensive":[117],"experiments":[118],"open":[121],"challenge":[122],"datasets":[123],"show":[124],"effectiveness":[126],"connections.":[130],"Compared":[131],"with":[132],"four":[133],"other":[134],"state-of-the-art":[135],"methods,":[138],"is":[140],"superior":[141],"runtime.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}