{"id":"https://openalex.org/W3198534441","doi":"https://doi.org/10.1145/3461353.3461376","title":"Scale adaptive and lightweight super-resolution with a selective hierarchical residual network","display_name":"Scale adaptive and lightweight super-resolution with a selective hierarchical residual network","publication_year":2021,"publication_date":"2021-03-05","ids":{"openalex":"https://openalex.org/W3198534441","doi":"https://doi.org/10.1145/3461353.3461376","mag":"3198534441"},"language":"en","primary_location":{"id":"doi:10.1145/3461353.3461376","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3461353.3461376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 the 5th International Conference on Innovation in Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030186937","display_name":"Jiawang Dan","orcid":"https://orcid.org/0000-0002-4735-5488"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawang Dan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045970695","display_name":"Zhaowei Qu","orcid":"https://orcid.org/0000-0002-8819-6778"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaowei Qu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102020015","display_name":"Xiaoru Wang","orcid":"https://orcid.org/0000-0001-7171-2783"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoru Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324309","display_name":"Fu Li","orcid":"https://orcid.org/0000-0001-8819-0547"},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fu Li","raw_affiliation_strings":["Portland State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University, USA","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064880496","display_name":"Jiahang Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahang Gu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110573470","display_name":"Bing Ma","orcid":"https://orcid.org/0009-0003-0798-4647"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Ma","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10405621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"14"},"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":0.9987999796867371,"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":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.7503570318222046},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.740290641784668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7053663730621338},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6907994747161865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6889302730560303},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5805143713951111},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5643139481544495},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5262207984924316},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4698314368724823},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4591829478740692},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3723199963569641},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3670405149459839},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17663386464118958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503570318222046},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.740290641784668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7053663730621338},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6907994747161865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6889302730560303},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5805143713951111},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5643139481544495},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5262207984924316},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4698314368724823},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4591829478740692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3723199963569641},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3670405149459839},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17663386464118958},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3461353.3461376","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3461353.3461376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 the 5th International Conference on Innovation in Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3731845505","display_name":"\u793e\u4ea4\u7f51\u7edc\u4e2d\u57fa\u4e8e\u56fe\u6316\u6398\u7684\u7528\u6237\u884c\u4e3a\u5206\u6790\u4e0e\u5f02\u5e38\u68c0\u6d4b\u6280\u672f\u7814\u7a76","funder_award_id":"61672108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2097117768","https://openalex.org/W2115441154","https://openalex.org/W2121927366","https://openalex.org/W2128272608","https://openalex.org/W2133665775","https://openalex.org/W2135254996","https://openalex.org/W2144764737","https://openalex.org/W2209771092","https://openalex.org/W2412782625","https://openalex.org/W2476548250","https://openalex.org/W2618530766","https://openalex.org/W2739373056","https://openalex.org/W2740139074","https://openalex.org/W2747898905","https://openalex.org/W2798110502","https://openalex.org/W2866634454","https://openalex.org/W2883780447","https://openalex.org/W2895598217","https://openalex.org/W2928165649","https://openalex.org/W2941646209","https://openalex.org/W2951527505","https://openalex.org/W2963103155","https://openalex.org/W2963163009","https://openalex.org/W2963182372","https://openalex.org/W2963420686","https://openalex.org/W2963470893","https://openalex.org/W2963840672","https://openalex.org/W2964169985","https://openalex.org/W2964277374","https://openalex.org/W3033671283","https://openalex.org/W4234552385","https://openalex.org/W4322387830","https://openalex.org/W4377561911"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W4293226380","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2972212393","https://openalex.org/W1988509163"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3],"have":[4],"made":[5],"remarkable":[6],"achievements":[7],"in":[8,12],"single-image":[9],"super-resolution":[10,24,42],"tasks":[11],"recent":[13],"years.":[14],"However,":[15],"current":[16],"methods":[17,125],"do":[18],"not":[19],"consider":[20],"the":[21,26,52,95,133],"characteristics":[22],"of":[23,99,105,113],"that":[25,116],"adjacent":[27,106],"areas":[28],"carry":[29],"similar":[30],"information.":[31,111],"In":[32],"this":[33],"paper,":[34],"we":[35],"propose":[36],"a":[37,44,71,78],"scale":[38,128],"adaptive":[39,129],"and":[40,77,131],"lightweight":[41,118],"with":[43],"selective":[45,62,79],"hierarchical":[46,63,72],"residual":[47,64],"network":[48],"(SHRN),":[49],"which":[50],"utilizes":[51],"repeated":[53,134],"texture":[54,97,135],"features.":[55],"Specifically,":[56],"SHRN":[57],"is":[58],"stacked":[59],"by":[60,126],"several":[61],"blocks":[65],"(SHRB).":[66],"The":[67,84,101],"SHRB":[68],"mainly":[69],"contains":[70],"feature":[73,80],"fusion":[74,81],"structure":[75,82],"(HFFS)":[76],"(SFFS).":[83],"HFFS":[85],"uses":[86],"multiple":[87],"branches":[88,107],"to":[89,94,108],"obtain":[90],"multiscale":[91],"features":[92,104,130],"due":[93],"varying":[96],"size":[98],"objects.":[100],"SFFS":[102],"fuses":[103],"select":[109],"effective":[110],"Plenty":[112],"experiments":[114],"demonstrate":[115],"our":[117],"model":[119],"achieves":[120],"better":[121],"performance":[122],"against":[123],"other":[124],"extracting":[127],"utilizing":[132],"structure.":[136]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}