{"id":"https://openalex.org/W4399233680","doi":"https://doi.org/10.31577/cai_2024_2_393","title":"Effective Lightweight Dual-Path Shift Compensation Network for Image Super-Resolution","display_name":"Effective Lightweight Dual-Path Shift Compensation Network for Image Super-Resolution","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399233680","doi":"https://doi.org/10.31577/cai_2024_2_393"},"language":"en","primary_location":{"id":"doi:10.31577/cai_2024_2_393","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2024_2_393","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2024_2_393/1286","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2024_2_393/1286","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102364905","display_name":"Yu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["School of Computer Science, China West Normal University, Nanchong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047873","display_name":"Pan Wang","orcid":"https://orcid.org/0000-0003-2006-1129"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Wang","raw_affiliation_strings":["School of Computer Science, China West Normal University, Nanchong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043952379","display_name":"Yajuan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajuan Wu","raw_affiliation_strings":["School of Computer Science, China West Normal University, Nanchong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16351329"],"apc_list":null,"apc_paid":null,"fwci":0.2142,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46021254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"43","issue":"2","first_page":"393","last_page":"413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9919000267982483,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6826611161231995},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6710144877433777},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.623145341873169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5336155891418457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5043014287948608},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.487409383058548},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4203537404537201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41184690594673157},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19129744172096252},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10365960001945496},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.06062114238739014}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6826611161231995},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6710144877433777},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.623145341873169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5336155891418457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5043014287948608},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.487409383058548},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4203537404537201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41184690594673157},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19129744172096252},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10365960001945496},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.06062114238739014},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31577/cai_2024_2_393","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2024_2_393","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2024_2_393/1286","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31577/cai_2024_2_393","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2024_2_393","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2024_2_393/1286","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399233680.pdf","grobid_xml":"https://content.openalex.org/works/W4399233680.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1885185971","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2607041014","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2795024892","https://openalex.org/W2805163084","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2891158090","https://openalex.org/W2895598217","https://openalex.org/W2954930822","https://openalex.org/W2962737939","https://openalex.org/W2962814024","https://openalex.org/W2963037581","https://openalex.org/W2963091558","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963645458","https://openalex.org/W2963844898","https://openalex.org/W2963949217","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2976718572","https://openalex.org/W2983339877","https://openalex.org/W3010250471","https://openalex.org/W3013529009","https://openalex.org/W3034752215","https://openalex.org/W3035280441","https://openalex.org/W3105328221","https://openalex.org/W3133953507","https://openalex.org/W3158293172","https://openalex.org/W3189313316","https://openalex.org/W3190575954","https://openalex.org/W4242628528","https://openalex.org/W4243685538","https://openalex.org/W4243975119","https://openalex.org/W4248716086","https://openalex.org/W4252782935","https://openalex.org/W4255822925","https://openalex.org/W4281727267","https://openalex.org/W4312509301","https://openalex.org/W4381304672"],"related_works":["https://openalex.org/W2379084545","https://openalex.org/W3216672236","https://openalex.org/W4250542427","https://openalex.org/W2216090681","https://openalex.org/W2365687337","https://openalex.org/W2358180351","https://openalex.org/W2392368077","https://openalex.org/W2365082216","https://openalex.org/W2317351040","https://openalex.org/W2352553236"],"abstract_inverted_index":{"In":[0,53,99],"this":[1],"paper,":[2],"we":[3,55,105],"propose":[4,20,56],"a":[5,21,37,132],"lightweight":[6,154],"dual-path":[7,79],"convolutional":[8,112],"neural":[9],"network":[10,86,155],"for":[11,93,159],"image":[12],"super-resolution":[13],"(SR).":[14],"We":[15],"introduce":[16],"shift":[17],"convolution":[18],"and":[19,42,50,88,114,147],"shift-channel":[22],"attention":[23,49],"(shift-ca)":[24],"mechanism":[25],"to":[26,47,83,117,126,152,169],"build":[27],"an":[28,33,185],"effective":[29],"network.":[30],"Shift-ca":[31],"produces":[32],"attentional":[34],"map":[35],"with":[36,131,161],"larger":[38],"field":[39],"of":[40,69,178],"view,":[41],"its":[43],"formulation":[44],"is":[45,139],"similar":[46,150],"channel":[48],"spatial":[51],"attention.":[52],"addition,":[54],"the":[57,66,70,78,85,94,100,107,119,128,140,153,170],"Local":[58],"Shift-Channel":[59],"Attention":[60,74,144],"Feature":[61],"Extraction":[62],"(LCFE)":[63],"module":[64,124,168],"as":[65],"main":[67],"part":[68],"Dual":[71,141],"Path":[72,142],"Shift":[73,143],"Block":[75],"(DPSAB).":[76],"Using":[77],"structure":[80],"allows":[81],"us":[82],"reduce":[84],"depth":[87],"retain":[89],"more":[90],"original":[91],"features":[92],"subsequent":[95],"up-sampling":[96],"compensation":[97],"operation.":[98],"final":[101,137],"HR":[102],"reconstruction":[103,129],"module,":[104],"combine":[106],"nearest":[108,121],"neighbor":[109,122],"upsampling":[110,123],"layer,":[111,113],"activation":[115],"layer":[116],"form":[118],"compensated":[120],"(C-NUM)":[125],"improve":[127],"quality":[130],"small":[133],"parameter":[134],"cost.":[135],"Our":[136],"model":[138],"Network":[145],"(DPSAN),":[146],"it":[148],"achieves":[149],"performance":[151],"WMRN":[156],"(36.38":[157],"%":[158],"WMRN)":[160],"only":[162],"195":[163],"k":[164],"parameters.":[165],"Applying":[166],"our":[167],"EDSR-baseline":[171],"also":[172],"yielded":[173],"good":[174],"results.":[175],"The":[176],"effectiveness":[177],"each":[179],"proposed":[180],"component":[181],"was":[182],"verified":[183],"by":[184],"ablation":[186],"study.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}