{"id":"https://openalex.org/W4286901804","doi":"https://doi.org/10.1109/tip.2023.3246792","title":"Dynamic Slimmable Denoising Network","display_name":"Dynamic Slimmable Denoising Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4286901804","doi":"https://doi.org/10.1109/tip.2023.3246792","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027761"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3246792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3246792","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","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/A5101692928","display_name":"Zutao Jiang","orcid":"https://orcid.org/0000-0002-6787-5499"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zutao Jiang","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700192","display_name":"Changlin Li","orcid":"https://orcid.org/0000-0002-8486-7482"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Changlin Li","raw_affiliation_strings":["Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034967388","display_name":"Xiaojun Chang","orcid":"https://orcid.org/0000-0002-7778-8807"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaojun Chang","raw_affiliation_strings":["Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069988750","display_name":"Ling Chen","orcid":"https://orcid.org/0000-0002-6468-5729"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ling Chen","raw_affiliation_strings":["Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068185614","display_name":"Jihua Zhu","orcid":"https://orcid.org/0000-0002-3081-8781"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihua Zhu","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005421447","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-0512-880X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101692928"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":2.6479,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91549848,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"1583","last_page":"1598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9958999752998352,"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":0.9951000213623047,"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":0.7694655060768127},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7563429474830627},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5266599059104919},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5006570816040039},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.48440343141555786},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45748370885849},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4376756250858307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4320200979709625},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4110437035560608},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3373497724533081},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24190786480903625},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07999923825263977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7694655060768127},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7563429474830627},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5266599059104919},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5006570816040039},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.48440343141555786},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45748370885849},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4376756250858307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4320200979709625},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4110437035560608},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3373497724533081},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24190786480903625},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07999923825263977}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3246792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3246792","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:37027761","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027761","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3586343731","display_name":null,"funder_award_id":"2021GY-025","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G6528658133","display_name":null,"funder_award_id":"LP220100390","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G7044173866","display_name":null,"funder_award_id":"2020AAA0109602","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7946923305","display_name":null,"funder_award_id":"2021GXLH-Z-097","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G8677632438","display_name":null,"funder_award_id":"LP220100389","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W2508457857","https://openalex.org/W2508497007","https://openalex.org/W2743289088","https://openalex.org/W2752782242","https://openalex.org/W2764207251","https://openalex.org/W2799192307","https://openalex.org/W2808168148","https://openalex.org/W2884751099","https://openalex.org/W2912435603","https://openalex.org/W2941471678","https://openalex.org/W2962767526","https://openalex.org/W2963122961","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2963393494","https://openalex.org/W2963494934","https://openalex.org/W2963725279","https://openalex.org/W2964125708","https://openalex.org/W2964137095","https://openalex.org/W2964622438","https://openalex.org/W2965217508","https://openalex.org/W2981698279","https://openalex.org/W2983315964","https://openalex.org/W2984618279","https://openalex.org/W2985577924","https://openalex.org/W3035383808","https://openalex.org/W3035502324","https://openalex.org/W3090412929","https://openalex.org/W3099686304","https://openalex.org/W3106758205","https://openalex.org/W3108652056","https://openalex.org/W3134773320","https://openalex.org/W3170697543","https://openalex.org/W3173563887","https://openalex.org/W3174068320","https://openalex.org/W3174531399","https://openalex.org/W3176997885","https://openalex.org/W3204647170","https://openalex.org/W4224130636","https://openalex.org/W4297775537","https://openalex.org/W6638523607","https://openalex.org/W6674855086","https://openalex.org/W6726381175","https://openalex.org/W6733814495","https://openalex.org/W6737664043","https://openalex.org/W6741753902","https://openalex.org/W6743912273","https://openalex.org/W6745447533","https://openalex.org/W6751913510","https://openalex.org/W6752237900","https://openalex.org/W6753756506","https://openalex.org/W6757036269","https://openalex.org/W6762718338","https://openalex.org/W6763381322","https://openalex.org/W6767022471","https://openalex.org/W6775706467","https://openalex.org/W6790299800","https://openalex.org/W6842607031"],"related_works":["https://openalex.org/W2046435967","https://openalex.org/W2055243143","https://openalex.org/W4231775656","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W4321636575","https://openalex.org/W3134658850","https://openalex.org/W2357796999"],"abstract_inverted_index":{"Recently,":[0],"tremendous":[1],"human-designed":[2],"and":[3,114,153,190,197],"automatically":[4],"searched":[5],"neural":[6],"networks":[7,68,100],"have":[8],"been":[9],"applied":[10],"to":[11,18,32,52,74,202,210],"image":[12],"denoising.":[13],"However,":[14],"previous":[15],"works":[16],"intend":[17],"handle":[19],"all":[20],"noisy":[21,76,212],"images":[22],"in":[23,149,193],"a":[24,43,49,89,123,133,168,199],"pre-defined":[25],"static":[26,225],"network":[27,47,148],"architecture,":[28],"which":[29,92],"inevitably":[30],"leads":[31],"high":[33],"computational":[34,59],"complexity":[35],"for":[36],"good":[37,54,177],"denoising":[38,46,55,164,226],"quality.":[39],"Here,":[40],"we":[41,121,131,142,171,187],"present":[42],"dynamic":[44,86,90,119,200],"slimmable":[45,135,146],"(DDS-Net),":[48],"general":[50],"method":[51],"achieve":[53],"quality":[56,165],"with":[57,72,82,101,162,176,208],"less":[58],"complexity,":[60],"via":[61],"dynamically":[62],"adjusting":[63],"the":[64,83,96,108,115,118,128,139,144,156,184,205,221],"channel":[65,97,157,181],"configurations":[66],"of":[67,85,99,110,117,159],"at":[69],"test":[70],"time":[71],"respect":[73,209],"different":[75,180,211],"images.":[77,213],"Our":[78],"DDS-Net":[79,218],"is":[80],"empowered":[81],"ability":[84],"inference":[87],"by":[88],"gate,":[91,120],"can":[93,172],"predictively":[94,203],"adjust":[95],"configuration":[98],"negligible":[102],"extra":[103],"computation":[104],"cost.":[105],"To":[106],"ensure":[107],"performance":[109,178],"each":[111,160],"candidate":[112],"sub-network":[113,207],"fairness":[116],"propose":[122],"three-stage":[124],"optimization":[125],"scheme.":[126],"In":[127,138,183],"first":[129],"stage,":[130,141,186],"train":[132,198],"weight-shared":[134],"super":[136,147],"network.":[137],"second":[140],"evaluate":[143],"trained":[145,224],"an":[150,194],"iterative":[151],"way":[152,196],"progressively":[154],"tailor":[155],"numbers":[158],"layer":[161],"minimal":[163],"drop.":[166],"By":[167],"single":[169],"pass,":[170],"obtain":[173],"several":[174],"sub-networks":[175],"under":[179],"configurations.":[182],"last":[185],"identify":[188],"easy":[189],"hard":[191],"samples":[192],"online":[195],"gate":[201],"select":[204],"corresponding":[206],"Extensive":[214],"experiments":[215],"demonstrate":[216],"our":[217],"consistently":[219],"outperforms":[220],"state-of-the-art":[222],"individually":[223],"networks.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
