{"id":"https://openalex.org/W4387250144","doi":"https://doi.org/10.1109/tpami.2023.3321311","title":"Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity","display_name":"Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity","publication_year":2023,"publication_date":"2023-10-02","ids":{"openalex":"https://openalex.org/W4387250144","doi":"https://doi.org/10.1109/tpami.2023.3321311","pmid":"https://pubmed.ncbi.nlm.nih.gov/37782582"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3321311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3321311","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5049349192","display_name":"Yi Chang","orcid":"https://orcid.org/0000-0001-8542-5937"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0001-8542-5937","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032176049","display_name":"Yun Guo","orcid":"https://orcid.org/0000-0003-4778-6007"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Guo","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060473269","display_name":"Yuntong Ye","orcid":"https://orcid.org/0000-0002-8065-6135"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntong Ye","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-8065-6135","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109920381","display_name":"Chang\u2010Feng Yu","orcid":"https://orcid.org/0000-0003-3298-8941"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changfeng Yu","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727060","display_name":"Lin Zhu","orcid":"https://orcid.org/0000-0001-6487-0441"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6487-0441","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011715660","display_name":"Xi-Le Zhao","orcid":"https://orcid.org/0000-0002-6540-946X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xile Zhao","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6540-946X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075653923","display_name":"Luxin Yan","orcid":"https://orcid.org/0000-0002-5445-2702"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luxin Yan","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-5445-2702","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Tian","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2978-5935","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5527,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91653768,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"46","issue":"5","first_page":"2638","last_page":"2657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T11309","display_name":"Music and Audio Processing","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9927999973297119,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6850826740264893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6496769189834595},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5263767838478088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48994961380958557},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15826848149299622}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6850826740264893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6496769189834595},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5263767838478088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48994961380958557},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15826848149299622}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3321311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3321311","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37782582","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37782582","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G4587952244","display_name":null,"funder_award_id":"62027804","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5289273547","display_name":null,"funder_award_id":"62371203","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":108,"referenced_works":["https://openalex.org/W1965572510","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2097073572","https://openalex.org/W2102166818","https://openalex.org/W2121396509","https://openalex.org/W2154621477","https://openalex.org/W2163146621","https://openalex.org/W2193145675","https://openalex.org/W2209874411","https://openalex.org/W2466666260","https://openalex.org/W2509784253","https://openalex.org/W2536599074","https://openalex.org/W2559264300","https://openalex.org/W2740982616","https://openalex.org/W2777170053","https://openalex.org/W2778532031","https://openalex.org/W2787091153","https://openalex.org/W2798991696","https://openalex.org/W2842511635","https://openalex.org/W2884068670","https://openalex.org/W2887181327","https://openalex.org/W2896911342","https://openalex.org/W2898337423","https://openalex.org/W2902857081","https://openalex.org/W2912435603","https://openalex.org/W2913360047","https://openalex.org/W2930755307","https://openalex.org/W2950689937","https://openalex.org/W2954171777","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963091558","https://openalex.org/W2963866045","https://openalex.org/W2963878020","https://openalex.org/W2964212750","https://openalex.org/W2966083079","https://openalex.org/W2967584026","https://openalex.org/W2970842755","https://openalex.org/W2974467376","https://openalex.org/W2980047233","https://openalex.org/W2991350899","https://openalex.org/W2996488097","https://openalex.org/W2996811754","https://openalex.org/W2998545307","https://openalex.org/W3006233221","https://openalex.org/W3009561768","https://openalex.org/W3028045870","https://openalex.org/W3034242291","https://openalex.org/W3034331889","https://openalex.org/W3034972231","https://openalex.org/W3035250394","https://openalex.org/W3035326127","https://openalex.org/W3035524453","https://openalex.org/W3043894081","https://openalex.org/W3084274556","https://openalex.org/W3096655658","https://openalex.org/W3100859887","https://openalex.org/W3103549414","https://openalex.org/W3104495176","https://openalex.org/W3104823194","https://openalex.org/W3106250896","https://openalex.org/W3108316907","https://openalex.org/W3108352987","https://openalex.org/W3108655343","https://openalex.org/W3158248812","https://openalex.org/W3167082280","https://openalex.org/W3169078099","https://openalex.org/W3173269149","https://openalex.org/W3174265363","https://openalex.org/W3174756006","https://openalex.org/W3175186117","https://openalex.org/W3176958085","https://openalex.org/W3177235959","https://openalex.org/W3179409401","https://openalex.org/W3180034634","https://openalex.org/W3183026600","https://openalex.org/W3183110203","https://openalex.org/W3186182384","https://openalex.org/W3201952986","https://openalex.org/W3204296306","https://openalex.org/W3205858060","https://openalex.org/W4221147148","https://openalex.org/W4221156988","https://openalex.org/W4225559324","https://openalex.org/W4230654051","https://openalex.org/W4281480933","https://openalex.org/W4282917395","https://openalex.org/W4283023197","https://openalex.org/W4283820866","https://openalex.org/W4285821234","https://openalex.org/W4297808394","https://openalex.org/W4312295033","https://openalex.org/W4312399981","https://openalex.org/W4312723380","https://openalex.org/W4312880823","https://openalex.org/W4391697048","https://openalex.org/W6637568146","https://openalex.org/W6746466744","https://openalex.org/W6752237900","https://openalex.org/W6767785265","https://openalex.org/W6774670964","https://openalex.org/W6776700526","https://openalex.org/W6777179611","https://openalex.org/W6779977557","https://openalex.org/W6780849396","https://openalex.org/W6783990618","https://openalex.org/W6784660784"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Most":[0],"existing":[1,32,231],"learning-based":[2],"deraining":[3,80],"methods":[4,33],"are":[5,90,100,236],"supervisedly":[6],"trained":[7],"on":[8,127,262],"synthetic":[9,17],"rainy-clean":[10],"pairs.":[11],"The":[12,82],"domain":[13],"gap":[14],"between":[15,69,135],"the":[16,31,36,39,61,88,98,110,128,131,136,140,144,152,157,173,182,186,196,212,216,221,227,242,269],"and":[18,67,72,94,104,151],"real":[19,27,232,248,264,276],"rain":[20,42,95,174,197,233],"makes":[21],"them":[22,48],"less":[23],"generalized":[24],"to":[25,122,170,203],"complex":[26],"rainy":[28,252,257,265],"scenes.":[29],"Moreover,":[30],"mainly":[34],"utilize":[35],"property":[37,134],"of":[38,47,117,156,185,195,215,230],"image":[40,85,165,188],"or":[41,239],"layers":[43,71,138,159],"independently,":[44],"while":[45],"few":[46],"have":[49],"considered":[50],"their":[51],"mutually":[52,132],"exclusive":[53,133,154],"relationship.":[54],"To":[55],"solve":[56],"above":[57],"dilemma,":[58],"we":[59,244],"explore":[60],"intrinsic":[62,111,183],"intra-similarity":[63],"within":[64,114,147],"each":[65,118,148],"layer":[66,119,149],"inter-exclusiveness":[68],"two":[70,137,158,217],"propose":[73],"an":[74,205],"unsupervised":[75],"non-local":[76,83,187],"contrastive":[77,207],"learning":[78],"(NLCL)":[79],"method.":[81],"self-similarity":[84,112,146],"patches":[86,96,189],"as":[87,97,162],"positives":[89],"tightly":[91],"pulled":[92],"together":[93],"negatives":[99],"remarkably":[101],"pushed":[102],"away,":[103],"vice":[105],"versa.":[106],"On":[107],"one":[108],"hand,":[109,130],"knowledge":[113],"positive/negative":[115],"samples":[116],"benefits":[120],"us":[121,169,202],"discover":[123,180],"more":[124],"compact":[125],"representation;":[126],"other":[129],"enriches":[139],"discriminative":[141,222],"decomposition.":[142,223],"Thus,":[143],"internal":[145],"(similarity)":[150],"external":[153],"relationship":[155],"(dissimilarity)":[160],"serving":[161],"a":[163,246],"generic":[164],"prior":[166],"jointly":[167],"facilitate":[168],"unsupervisedly":[171],"differentiate":[172],"from":[175,241],"clean":[176],"image.":[177],"We":[178],"further":[179],"that":[181,194,209,254,268],"dimension":[184],"is":[190],"generally":[191],"higher":[192],"than":[193],"patches.":[198],"This":[199],"insight":[200],"motivates":[201],"design":[204],"asymmetric":[206],"loss":[208],"precisely":[210],"models":[211],"compactness":[213],"discrepancy":[214],"layers,":[218],"thereby":[219],"improving":[220],"In":[224],"addition,":[225],"recognizing":[226],"limited":[228],"quality":[229],"datasets,":[234],"which":[235],"often":[237],"small-scale":[238],"obtained":[240],"internet,":[243],"collect":[245],"large-scale":[247],"dataset":[249],"under":[250],"various":[251],"weathers":[253],"contains":[255],"high-resolution":[256],"images.":[258],"Extensive":[259],"experiments":[260],"conducted":[261],"different":[263],"datasets":[266],"demonstrate":[267],"proposed":[270],"method":[271],"obtains":[272],"state-of-the-art":[273],"performance":[274],"in":[275],"deraining.":[277]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
