{"id":"https://openalex.org/W4393972573","doi":"https://doi.org/10.1109/tip.2024.3378181","title":"Generalizing to Out-of-Sample Degradations via Model Reprogramming","display_name":"Generalizing to Out-of-Sample Degradations via Model Reprogramming","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393972573","doi":"https://doi.org/10.1109/tip.2024.3378181","pmid":"https://pubmed.ncbi.nlm.nih.gov/38578860"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3378181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3378181","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/A5040090294","display_name":"Runhua Jiang","orcid":"https://orcid.org/0000-0003-2402-8684"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runhua Jiang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2402-8684","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031819155","display_name":"Yahong Han","orcid":"https://orcid.org/0000-0003-2768-1398"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahong Han","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2768-1398","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.2044,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42263894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"33","issue":null,"first_page":"2783","last_page":"2794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9977999925613403,"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":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.7532041668891907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7234587073326111},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5431451201438904},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5082654356956482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5008034706115723},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4674464464187622},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.46406492590904236},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4296373724937439},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35077792406082153},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33339256048202515},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24321052432060242},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16503265500068665},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10718384385108948}],"concepts":[{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.7532041668891907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7234587073326111},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5431451201438904},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5082654356956482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5008034706115723},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4674464464187622},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.46406492590904236},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4296373724937439},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35077792406082153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33339256048202515},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24321052432060242},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16503265500068665},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10718384385108948},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3378181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3378181","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:38578860","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38578860","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":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1297212625","display_name":null,"funder_award_id":"62376186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1829462488","display_name":"\u8de8\u5a92\u4f53\u667a\u80fd\u95ee\u7b54\u548c\u63a8\u7406\u5173\u952e\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61932009","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W2015443456","https://openalex.org/W2088181597","https://openalex.org/W2110158442","https://openalex.org/W2130184048","https://openalex.org/W2187089797","https://openalex.org/W2256362396","https://openalex.org/W2560533888","https://openalex.org/W2738579427","https://openalex.org/W2741137940","https://openalex.org/W2779176852","https://openalex.org/W2915130236","https://openalex.org/W2948606054","https://openalex.org/W2950689937","https://openalex.org/W2962687275","https://openalex.org/W2962754725","https://openalex.org/W2963074253","https://openalex.org/W2963928582","https://openalex.org/W2964212750","https://openalex.org/W2964288524","https://openalex.org/W2983315964","https://openalex.org/W2985577924","https://openalex.org/W2988641380","https://openalex.org/W2990007814","https://openalex.org/W2995224431","https://openalex.org/W3034242291","https://openalex.org/W3035576098","https://openalex.org/W3066471605","https://openalex.org/W3085824656","https://openalex.org/W3106758205","https://openalex.org/W3133769291","https://openalex.org/W3135542706","https://openalex.org/W3163225208","https://openalex.org/W3167082280","https://openalex.org/W3170697543","https://openalex.org/W3194427711","https://openalex.org/W3199716252","https://openalex.org/W3207918547","https://openalex.org/W4213328902","https://openalex.org/W4214623175","https://openalex.org/W4214902553","https://openalex.org/W4225672218","https://openalex.org/W4226440503","https://openalex.org/W4230472795","https://openalex.org/W4298312696","https://openalex.org/W4310631370","https://openalex.org/W4312624488","https://openalex.org/W4312625691","https://openalex.org/W4312853765","https://openalex.org/W4317496742","https://openalex.org/W4320502957","https://openalex.org/W4393157525","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6683633756","https://openalex.org/W6752946794","https://openalex.org/W6763066025","https://openalex.org/W6779945560","https://openalex.org/W6796456916","https://openalex.org/W6847118160","https://openalex.org/W6849834697"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W4236696095","https://openalex.org/W3143779693","https://openalex.org/W2365681766","https://openalex.org/W2393963626"],"abstract_inverted_index":{"Existing":[0],"image":[1,115,121,171],"restoration":[2,68,89,107,188],"models":[3,44,69,90,189],"are":[4,147,190,217],"typically":[5],"designed":[6],"for":[7],"specific":[8,46],"tasks":[9],"and":[10,42,141,154,175,209],"struggle":[11],"to":[12,14,66,87,103,119,192],"generalize":[13],"out-of-sample":[15,50,94,101,136,160,194],"degradations":[16,51,102,105,137,195],"not":[17],"encountered":[18],"during":[19],"training.":[20],"While":[21],"zero-shot":[22],"methods":[23],"can":[24],"address":[25,125],"this":[26,75,77,126],"limitation":[27],"by":[28,138,164],"fine-tuning":[29],"model":[30,131],"parameters":[31],"on":[32,38],"testing":[33],"samples,":[34],"their":[35],"effectiveness":[36,208],"relies":[37],"predefined":[39],"natural":[40],"priors":[41],"physical":[43],"of":[45,92,106,152,159,211],"degradations.":[47,95],"Nevertheless,":[48],"determining":[49],"faced":[52],"in":[53,113,177],"real-world":[54],"scenarios":[55],"is":[56,63,162,173],"always":[57],"impractical.":[58],"As":[59],"a":[60,130],"result,":[61],"it":[62],"more":[64],"desirable":[65],"train":[67],"with":[70],"inherent":[71],"generalization":[72],"ability.":[73],"To":[74,124],"end,":[76],"work":[78],"introduces":[79],"the":[80,114,166,170,178,207],"Out-of-Sample":[81],"Restoration":[82],"(OSR)":[83],"task,":[84],"which":[85,134],"aims":[86],"develop":[88],"capable":[91],"handling":[93],"An":[96],"intuitive":[97],"solution":[98],"involves":[99],"pre-translating":[100],"known":[104],"models.":[108],"However,":[109],"directly":[110],"translating":[111],"them":[112],"space":[116],"could":[117],"lead":[118],"complex":[120],"translation":[122,158],"issues.":[123],"issue,":[127],"we":[128,205],"propose":[129],"reprogramming":[132],"framework,":[133],"translates":[135],"quantum":[139],"mechanic":[140],"wave":[142,150],"functions.":[143],"Specifically,":[144],"input":[145],"images":[146],"decoupled":[148],"as":[149,186],"functions":[151],"amplitude":[153,179],"phase":[155,167],"terms.":[156],"The":[157],"degradation":[161],"performed":[163],"adapting":[165],"term.":[168,180],"Meanwhile,":[169],"content":[172],"maintained":[174],"enhanced":[176],"By":[181],"taking":[182],"these":[183],"two":[184],"terms":[185],"inputs,":[187],"able":[191],"handle":[193],"without":[196],"fine-tuning.":[197],"Through":[198],"extensive":[199],"experiments":[200],"across":[201],"multiple":[202],"evaluation":[203],"cases,":[204],"demonstrate":[206],"flexibility":[210],"our":[212],"proposed":[213],"framework.":[214],"Our":[215],"codes":[216],"available":[218],"at":[219],"https://github.com/ddghjikle/Out-of-sample-restoration.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
