{"id":"https://openalex.org/W4205340449","doi":"https://doi.org/10.3233/jifs-212571","title":"No rain in the world: A novel residual deep attention network for single image rain removal","display_name":"No rain in the world: A novel residual deep attention network for single image rain removal","publication_year":2022,"publication_date":"2022-01-18","ids":{"openalex":"https://openalex.org/W4205340449","doi":"https://doi.org/10.3233/jifs-212571"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-212571","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-212571","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5102436671","display_name":"Mingrun Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingrun Wei","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101999984","display_name":"Hongjuan Wang","orcid":"https://orcid.org/0000-0002-6952-0464"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongjuan Wang","raw_affiliation_strings":["College of Intelligent Equipment, Shandong University of Science and Technology, Tai\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligent Equipment, Shandong University of Science and Technology, Tai\u2019an, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054857685","display_name":"Ru Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ru Cheng","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079661591","display_name":"Yue Yu","orcid":"https://orcid.org/0000-0003-0155-5588"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Yu","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101999984"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00461793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"43","issue":"1","first_page":"859","last_page":"875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":0.9976000189781189,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9962999820709229,"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":0.7619471549987793},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7494729161262512},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7423282861709595},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6556525826454163},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6510899066925049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6352643966674805},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5932231545448303},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5090703368186951},{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.4853571951389313},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4778170883655548},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46203070878982544},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4326946437358856},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39598193764686584},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32526540756225586},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24986690282821655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21473821997642517},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12382033467292786},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07432481646537781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619471549987793},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7494729161262512},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7423282861709595},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6556525826454163},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6510899066925049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6352643966674805},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5932231545448303},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5090703368186951},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.4853571951389313},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4778170883655548},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46203070878982544},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4326946437358856},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39598193764686584},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32526540756225586},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24986690282821655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21473821997642517},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12382033467292786},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07432481646537781},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-212571","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-212571","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2114770744","https://openalex.org/W2133665775","https://openalex.org/W2509784253","https://openalex.org/W2611452721","https://openalex.org/W2613034492","https://openalex.org/W2884367402","https://openalex.org/W2911402032","https://openalex.org/W2913360047","https://openalex.org/W2963017889","https://openalex.org/W2966083079","https://openalex.org/W2969993933","https://openalex.org/W2972392068","https://openalex.org/W3006232061","https://openalex.org/W3016723690","https://openalex.org/W3026432413","https://openalex.org/W3104795559","https://openalex.org/W4295312788","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2035329725","https://openalex.org/W4376641153","https://openalex.org/W2050788868","https://openalex.org/W4250391473","https://openalex.org/W4302292679","https://openalex.org/W2956222435","https://openalex.org/W4241625287","https://openalex.org/W2027634686","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Clear":[0],"images":[1,25],"are":[2,11,26],"generally":[3],"desirable":[4],"in":[5,21,41,159,197,211,250,279],"high-level":[6],"computer":[7],"vision":[8],"algorithms":[9],"which":[10,68],"mostly":[12],"deployed":[13],"outdoors.":[14],"However,":[15],"affected":[16],"by":[17,29,56],"the":[18,22,77,104,148,174,180,185,194,208,212,253,256,262,265,271],"changeable":[19],"weather":[20],"real":[23,292],"world,":[24],"inevitably":[27],"contaminated":[28],"rain":[30,42,117,146,199,248,267],"streaks.":[31],"Deep":[32],"convolutional":[33,59],"neural":[34],"networks":[35],"(CNNs)":[36],"have":[37,191],"shown":[38],"significant":[39],"potential":[40],"streaks":[43,249],"removal.":[44],"The":[45],"performance":[46],"of":[47,184,255,261,264,273,281],"most":[48,260],"existing":[49],"CNN-based":[50],"deraining":[51,95],"methods":[52,64,278],"is":[53,87,119,142],"often":[54],"enhanced":[55],"stacking":[57],"vanilla":[58],"layers":[60],"and":[61,133,162,176,252,285,291],"some":[62,188],"other":[63],"use":[65],"dilated":[66,130,172],"convolution":[67],"can":[69,152,243,258],"only":[70],"model":[71,163,242],"local":[72],"pixel":[73],"relations":[74,165],"to":[75,229],"provide":[76],"necessary":[78],"but":[79],"limited":[80],"receptive":[81],"field.":[82],"Therefore,":[83],"long-range":[84],"contextual":[85,140],"information":[86,141,196,210,234],"rarely":[88],"considered":[89],"for":[90,114,145],"this":[91],"specific":[92],"task,":[93],"thus,":[94],"a":[96,124,170,198,217],"single":[97,115,171],"image":[98,116,200],"remains":[99],"challenging":[100],"problem.":[101],"To":[102,206],"address":[103],"above":[105],"problem,":[106],"an":[107],"effective":[108],"residual":[109,218],"deep":[110],"attention":[111,135,178],"network":[112,257],"(RDANet)":[113],"removal":[118],"proposed.":[120],"Specifically,":[121],"we":[122,215],"design":[123],"strong":[125],"basic":[126,150,237],"unit":[127,151],"that":[128,193,223],"contains":[129,224],"convolution,":[131,173],"spatial":[132,175,251],"channel":[134,177],"module":[136],"(SCAM)":[137],"simultaneously.":[138],"As":[139],"very":[143],"important":[144],"removal,":[147],"proposed":[149],"capture":[153],"global":[154],"long-distance":[155],"dependencies":[156],"among":[157],"pixels":[158],"feature":[160,164,181,219],"maps":[161],"across":[166],"channels.":[167],"Compared":[168],"with":[169],"enhance":[179],"expression":[182],"ability":[183],"network.":[186],"Moreover,":[187],"previous":[189],"works":[190],"proven":[192],"no-rain":[195],"will":[201],"be":[202],"missing":[203],"during":[204],"deraining.":[205],"enrich":[207],"detailed":[209],"clean":[213],"images,":[214],"present":[216],"processing":[220],"group":[221],"(RFPG)":[222],"several":[225],"source":[226,233],"skip":[227],"connections":[228],"inject":[230],"rainy":[231,293],"shallow":[232],"into":[235],"each":[236],"unit.":[238],"In":[239],"summary,":[240],"our":[241,274],"effectively":[244],"handle":[245],"complicated":[246],"long":[247],"outputs":[254],"retain":[259],"details":[263],"original":[266],"images.":[268,294],"Experiments":[269],"demonstrate":[270],"superiority":[272],"RDANet":[275],"over":[276],"state-of-the-art":[277],"terms":[280],"both":[282,289],"quantitative":[283],"metrics":[284],"visual":[286],"quality":[287],"on":[288],"synthetic":[290]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}