{"id":"https://openalex.org/W2963966343","doi":"https://doi.org/10.1109/icpr.2018.8546130","title":"SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks","display_name":"SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2963966343","doi":"https://doi.org/10.1109/icpr.2018.8546130","mag":"2963966343"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8546130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5080240600","display_name":"Xi Cheng","orcid":"https://orcid.org/0000-0001-7479-7575"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Cheng","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693026","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-4996-7365"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726984","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029021362","display_name":"Ying Tai","orcid":"https://orcid.org/0000-0002-4665-6852"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Tai","raw_affiliation_strings":["Jiangsu Key Laboratory of Image and Video Understanding for Social Security, Nanjing University of Science and Technology, Nanjing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Image and Video Understanding for Social Security, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080240600"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":3.0293,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.94015049,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"152"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.996999979019165,"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":0.9958000183105469,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7567227482795715},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7272573709487915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.70610511302948},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5923476815223694},{"id":"https://openalex.org/keywords/excitation","display_name":"Excitation","score":0.5495849251747131},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5354222655296326},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5202744603157043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5032822489738464},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.48024752736091614},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.44019076228141785},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4250485897064209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.345736026763916},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11734288930892944},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06595554947853088}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7567227482795715},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7272573709487915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70610511302948},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5923476815223694},{"id":"https://openalex.org/C83581075","wikidata":"https://www.wikidata.org/wiki/Q1361503","display_name":"Excitation","level":2,"score":0.5495849251747131},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5354222655296326},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5202744603157043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5032822489738464},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.48024752736091614},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.44019076228141785},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4250485897064209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.345736026763916},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11734288930892944},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06595554947853088},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8546130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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":39,"referenced_works":["https://openalex.org/W935139217","https://openalex.org/W1686810756","https://openalex.org/W1791560514","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2088254198","https://openalex.org/W2112796928","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2147800946","https://openalex.org/W2161516371","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2263468737","https://openalex.org/W2331128040","https://openalex.org/W2475287302","https://openalex.org/W2503339013","https://openalex.org/W2607041014","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2780544323","https://openalex.org/W2963037581","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2964125708","https://openalex.org/W4377561911","https://openalex.org/W6624640001","https://openalex.org/W6638194035","https://openalex.org/W6638667902","https://openalex.org/W6684191040","https://openalex.org/W6688459880","https://openalex.org/W6702130928","https://openalex.org/W6724673846"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2542402767","https://openalex.org/W2158056054","https://openalex.org/W3023086044","https://openalex.org/W2906353151","https://openalex.org/W2294441925","https://openalex.org/W2142226356"],"abstract_inverted_index":{"Single":[0],"image":[1,66],"super":[2,56,67,125],"resolution":[3,57,68,126],"is":[4,140],"a":[5,12,32,40,63,128],"very":[6],"important":[7],"computer":[8],"vision":[9],"task,":[10],"with":[11,31],"wide":[13],"range":[14],"of":[15,22,43,150],"applications.":[16],"In":[17,48,101],"recent":[18],"years,":[19],"the":[20,23,55,79,88,103,114,145],"depth":[21],"super-resolution":[24],"model":[25,87,98,112,139],"has":[26,38],"been":[27],"constantly":[28],"increasing,":[29],"but":[30],"small":[33],"increase":[34],"in":[35,51,110,127,148],"performance,":[36],"it":[37],"brought":[39],"huge":[41],"amount":[42],"computation":[44],"and":[45,73,81,90,94,106,116,118,152],"memory":[46],"consumption.":[47],"this":[49],"work,":[50],"order":[52],"to":[53,121,142],"make":[54],"models":[58],"more":[59,99],"effective,":[60],"we":[61],"proposed":[62],"novel":[64],"single":[65,129],"method":[69,109],"via":[70],"recursive":[71,104],"squeeze":[72,80],"excitation":[74,82],"networks":[75],"(SESR).":[76],"By":[77],"introducing":[78],"module,":[83],"our":[84,97,111,138],"SESR":[85,120],"can":[86],"interdependencies":[89],"relationships":[91],"between":[92],"channels":[93],"that":[95],"makes":[96],"efficiency.":[100],"addition,":[102],"structure":[105],"progressive":[107],"reconstruction":[108],"minimized":[113],"layers":[115],"parameters":[117],"enabled":[119],"simultaneously":[122],"train":[123],"multi-scale":[124],"model.":[130],"After":[131],"evaluating":[132],"on":[133],"four":[134],"benchmark":[135],"test":[136],"sets,":[137],"proved":[141],"be":[143],"above":[144],"state-of-the-art":[146],"methods":[147],"terms":[149],"speed":[151],"accuracy.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}