{"id":"https://openalex.org/W4402915688","doi":"https://doi.org/10.1109/icip51287.2024.10648093","title":"Domain Dilation for Single Domain Generalization","display_name":"Domain Dilation for Single Domain Generalization","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402915688","doi":"https://doi.org/10.1109/icip51287.2024.10648093"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10648093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10648093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5114235353","display_name":"Yuehui Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehui Fan","raw_affiliation_strings":["Guangdong University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015849144","display_name":"Baoyao Yang","orcid":"https://orcid.org/0000-0001-9092-3164"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoyao Yang","raw_affiliation_strings":["Guangdong University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079116057","display_name":"Meng Shen","orcid":"https://orcid.org/0000-0002-5529-2157"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Shen","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088356199","display_name":"Fei Lyu","orcid":"https://orcid.org/0000-0001-8858-8950"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fei Lyu","raw_affiliation_strings":["Hong Kong Baptist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3055,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6509018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3931","last_page":"3937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.45559999346733093,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.45559999346733093,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.4465000033378601,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.4117000102996826,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/generalization","display_name":"Generalization","score":0.6224913597106934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.604023277759552},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.5886746048927307},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5847193002700806},{"id":"https://openalex.org/keywords/single-domain","display_name":"Single domain","score":0.56020587682724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2747364044189453},{"id":"https://openalex.org/keywords/magnetic-domain","display_name":"Magnetic domain","score":0.15879207849502563},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09287014603614807},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09105882048606873},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0715188980102539}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6224913597106934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.604023277759552},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.5886746048927307},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5847193002700806},{"id":"https://openalex.org/C290404","wikidata":"https://www.wikidata.org/wiki/Q7523944","display_name":"Single domain","level":5,"score":0.56020587682724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2747364044189453},{"id":"https://openalex.org/C182260160","wikidata":"https://www.wikidata.org/wiki/Q1069637","display_name":"Magnetic domain","level":4,"score":0.15879207849502563},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09287014603614807},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09105882048606873},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0715188980102539},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"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/C32546565","wikidata":"https://www.wikidata.org/wiki/Q856711","display_name":"Magnetization","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10648093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10648093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":20,"referenced_works":["https://openalex.org/W3034373371","https://openalex.org/W3037492894","https://openalex.org/W3095799614","https://openalex.org/W3120903390","https://openalex.org/W3136021864","https://openalex.org/W3172854222","https://openalex.org/W3175146247","https://openalex.org/W3175956495","https://openalex.org/W4214480085","https://openalex.org/W4283716386","https://openalex.org/W4292787479","https://openalex.org/W4319300162","https://openalex.org/W4319300584","https://openalex.org/W4386075820","https://openalex.org/W4390871721","https://openalex.org/W4391182993","https://openalex.org/W6752160200","https://openalex.org/W6776700526","https://openalex.org/W6781506369","https://openalex.org/W6784146242"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W3162204513","https://openalex.org/W2358668433","https://openalex.org/W3132983279","https://openalex.org/W2010224497","https://openalex.org/W2039621308","https://openalex.org/W1509298318","https://openalex.org/W1973654345"],"abstract_inverted_index":{"This":[0,82],"work":[1],"investigates":[2],"the":[3,29,35,48,85,128,132,138],"Single":[4],"Domain":[5],"Generalization":[6],"(SDG),":[7],"which":[8],"generalizes":[9],"a":[10,13,71,123],"model":[11],"from":[12,88,131],"single":[14,143],"source":[15,30,36,49,86,92,102,133],"domain":[16,31,64,73,77,87,93,103,129,144],"to":[17,47],"multiple":[18],"unseen":[19],"target":[20],"domains.":[21,99],"Most":[22],"existing":[23],"SDG":[24],"methods":[25,53,140],"focus":[26],"on":[27,141],"expanding":[28],"by":[32,126],"either":[33],"transforming":[34],"samples":[37,56,108],"into":[38],"different":[39],"styles":[40],"or":[41],"optimizing":[42],"adversarial":[43],"noise":[44],"perturbations":[45],"applied":[46],"samples.":[50],"However,":[51],"these":[52],"generate":[54,106],"fictitious":[55,107],"using":[57],"specific":[58],"image":[59],"transformation,":[60],"resulting":[61],"in":[62],"insufficient":[63],"expansion.":[65],"In":[66],"this":[67,117],"paper,":[68],"we":[69,105],"propose":[70],"progressive":[72],"expansion":[74],"method,":[75],"namely":[76],"dilation":[78],"(DD)":[79],"for":[80],"SDG.":[81],"method":[83,136],"dilates":[84],"two":[89],"perspectives:":[90],"enriching":[91],"diversity":[94],"and":[95],"generating":[96],"various":[97,114],"pseudo":[98,115,120],"To":[100,112],"enrich":[101],"diversity,":[104],"with":[109,122],"diverse":[110],"styles.":[111],"obtain":[113],"domains,":[116],"paper":[118],"generates":[119],"domains":[121],"new":[124],"distribution":[125],"maximizing":[127],"difference":[130],"domain.":[134],"Our":[135],"outperforms":[137],"state-of-the-art":[139],"prevalent":[142],"generalization":[145],"benchmarks":[146],"through":[147],"extensive":[148],"experiments,":[149],"offering":[150],"improved":[151],"results.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
