{"id":"https://openalex.org/W3004343075","doi":"https://doi.org/10.1109/lsp.2020.2970345","title":"Dually Connected Deraining Net Using Pixel-Wise Attention","display_name":"Dually Connected Deraining Net Using Pixel-Wise Attention","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3004343075","doi":"https://doi.org/10.1109/lsp.2020.2970345","mag":"3004343075"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.2970345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2970345","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5072203497","display_name":"Weihong Ren","orcid":"https://orcid.org/0000-0003-3839-0078"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihong Ren","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","University of Chinese Academy of Sciences, Huairou, China"],"raw_orcid":"https://orcid.org/0000-0003-3839-0078","affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Huairou, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818811","display_name":"Jiandong Tian","orcid":"https://orcid.org/0000-0003-3888-991X"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandong Tian","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences,Shenyang,China"],"raw_orcid":"https://orcid.org/0000-0003-3888-991X","affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences,Shenyang,China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366955","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-2018-1764"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","University of Chinese Academy of Sciences, Huairou, China"],"raw_orcid":"https://orcid.org/0000-0002-2018-1764","affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Huairou, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091319287","display_name":"Yandong Tang","orcid":"https://orcid.org/0000-0003-3805-7654"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Tang","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences,Shenyang,China"],"raw_orcid":"https://orcid.org/0000-0003-3805-7654","affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences,Shenyang,China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.15,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80273014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"316","last_page":"320"},"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":0.9959999918937683,"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":0.9955000281333923,"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/concatenation","display_name":"Concatenation (mathematics)","score":0.8091443181037903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7516807317733765},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6862581372261047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6532683968544006},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6266995072364807},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6003046035766602},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.586322546005249},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5436967015266418},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5110515356063843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47540077567100525},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4208873510360718},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4197829067707062},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36796891689300537},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22335639595985413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16993185877799988}],"concepts":[{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.8091443181037903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516807317733765},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6862581372261047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6532683968544006},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6266995072364807},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6003046035766602},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.586322546005249},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5436967015266418},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5110515356063843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47540077567100525},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4208873510360718},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4197829067707062},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36796891689300537},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22335639595985413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16993185877799988},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2020.2970345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2970345","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:ir.sia.cn/:173321/26772","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/26772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1551440417","display_name":null,"funder_award_id":"61991413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2382578331","display_name":null,"funder_award_id":"91648118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3507080720","display_name":null,"funder_award_id":"61821005","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":43,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2028990532","https://openalex.org/W2054604489","https://openalex.org/W2097073572","https://openalex.org/W2117865218","https://openalex.org/W2121880036","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2302086703","https://openalex.org/W2466666260","https://openalex.org/W2509784253","https://openalex.org/W2550553598","https://openalex.org/W2559264300","https://openalex.org/W2737207197","https://openalex.org/W2740982616","https://openalex.org/W2752782242","https://openalex.org/W2798791651","https://openalex.org/W2884068670","https://openalex.org/W2887181327","https://openalex.org/W2910832120","https://openalex.org/W2912435603","https://openalex.org/W2930755307","https://openalex.org/W2954171777","https://openalex.org/W2963017889","https://openalex.org/W2963085671","https://openalex.org/W2963091558","https://openalex.org/W2963495494","https://openalex.org/W2963866045","https://openalex.org/W2963878020","https://openalex.org/W2964105113","https://openalex.org/W2964116539","https://openalex.org/W2964212750","https://openalex.org/W2964267765","https://openalex.org/W2966083079","https://openalex.org/W2967584026","https://openalex.org/W2991350899","https://openalex.org/W6639824700","https://openalex.org/W6764965935","https://openalex.org/W6765732119","https://openalex.org/W6767259143","https://openalex.org/W6770924640","https://openalex.org/W6967019552"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W4221148444","https://openalex.org/W4387678054","https://openalex.org/W2389596151","https://openalex.org/W3095575180","https://openalex.org/W4306784355","https://openalex.org/W2169308097","https://openalex.org/W3091984855","https://openalex.org/W2150768546","https://openalex.org/W2570112143"],"abstract_inverted_index":{"Recent":[0],"single":[1,47],"image":[2,48,107],"deraining":[3,41,53,85,138],"methods":[4],"either":[5],"use":[6],"a":[7,38,60,66],"recurrent":[8],"mechanism":[9],"to":[10,28,87,98],"gradually":[11],"learn":[12,65],"the":[13,30,52,84,102,109,115,131,135],"mapping":[14],"between":[15,91],"clear":[16],"images":[17],"and":[18,76,93,100],"rainy":[19],"images,":[20],"or":[21],"focus":[22],"on":[23,126],"designing":[24],"various":[25],"loss":[26],"functions":[27],"supervise":[29],"learning":[31],"process.":[32],"In":[33],"this":[34],"letter,":[35],"we":[36],"propose":[37],"dually":[39],"connected":[40],"net":[42,54,58,86],"using":[43,72],"pixel-wise":[44,117],"attention,":[45],"for":[46,119],"rain":[49,103],"removal.":[50],"Specifically,":[51],"adopts":[55],"an":[56],"encoder-decoder":[57],"as":[59],"backbone,":[61],"which":[62],"can":[63,95],"effectively":[64],"residual":[67],"rain-streaks":[68],"map":[69],"by":[70,114],"jointly":[71],"skip":[73,77],"sum":[74],"connection":[75],"concatenation":[78],"connection.":[79],"The":[80],"dual":[81],"connections":[82],"enable":[83],"promote":[88],"information":[89],"flow":[90],"layers,":[92],"thus":[94],"allow":[96],"it":[97],"discriminate":[99],"localize":[101],"streaks.":[104],"To":[105],"preserve":[106],"details,":[108],"decoded":[110],"features":[111],"are":[112],"weighted":[113],"learnable":[116],"attention":[118],"adaptively":[120],"recalibrating":[121],"their":[122],"responses.":[123],"Experimental":[124],"results":[125],"synthetic":[127],"datasets":[128],"demonstrate":[129],"that":[130],"proposed":[132],"model":[133],"outperforms":[134],"recent":[136],"state-of-the-art":[137],"methods.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}