{"id":"https://openalex.org/W4396542714","doi":"https://doi.org/10.1109/tnnls.2024.3377439","title":"Smooth-Guided Implicit Data Augmentation for Domain Generalization","display_name":"Smooth-Guided Implicit Data Augmentation for Domain Generalization","publication_year":2024,"publication_date":"2024-05-01","ids":{"openalex":"https://openalex.org/W4396542714","doi":"https://doi.org/10.1109/tnnls.2024.3377439","pmid":"https://pubmed.ncbi.nlm.nih.gov/38691433"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3377439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3377439","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5057464374","display_name":"Mengzhu Wang","orcid":"https://orcid.org/0000-0002-1059-0441"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengzhu Wang","raw_affiliation_strings":["College of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034351703","display_name":"Junze Liu","orcid":"https://orcid.org/0000-0002-4112-9367"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junze Liu","raw_affiliation_strings":["School of Physics, Changchun University of Science and Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"School of Physics, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056973897","display_name":"Ge Luo","orcid":"https://orcid.org/0009-0005-2757-1879"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Luo","raw_affiliation_strings":["College of Computer, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090034491","display_name":"Shanshan Wang","orcid":"https://orcid.org/0000-0002-3824-687X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Wang","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115590684","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-8676-1190"},"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":"Wei Wang","raw_affiliation_strings":["School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060251766","display_name":"Long Lan","orcid":"https://orcid.org/0000-0002-4238-8985"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Lan","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423424","display_name":"Ye Wang","orcid":"https://orcid.org/0000-0001-7992-3892"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"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/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Wang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China","Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["School of Artificial Intelligence, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5057464374"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":3.4314,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93091219,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"4984","last_page":"4995"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9914000034332275,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9280999898910522,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7853134274482727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7206467390060425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.489817351102829},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4724847674369812},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47197991609573364},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4655032753944397},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4306773841381073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3793370723724365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3443198502063751},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33789318799972534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19334211945533752}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7853134274482727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206467390060425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.489817351102829},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4724847674369812},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47197991609573364},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4655032753944397},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4306773841381073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3793370723724365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3443198502063751},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33789318799972534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19334211945533752},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3377439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3377439","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38691433","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38691433","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3588822669","display_name":null,"funder_award_id":"62106003","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":85,"referenced_works":["https://openalex.org/W1912954554","https://openalex.org/W1934241014","https://openalex.org/W1980038761","https://openalex.org/W2112796928","https://openalex.org/W2115403315","https://openalex.org/W2121010533","https://openalex.org/W2335728318","https://openalex.org/W2395579298","https://openalex.org/W2593768305","https://openalex.org/W2604319603","https://openalex.org/W2604587608","https://openalex.org/W2627183927","https://openalex.org/W2657631929","https://openalex.org/W2763549966","https://openalex.org/W2787226294","https://openalex.org/W2798658180","https://openalex.org/W2884366600","https://openalex.org/W2894728917","https://openalex.org/W2958360136","https://openalex.org/W2963026686","https://openalex.org/W2963043696","https://openalex.org/W2963118547","https://openalex.org/W2963240485","https://openalex.org/W2963275094","https://openalex.org/W2979475574","https://openalex.org/W2981368934","https://openalex.org/W2981488580","https://openalex.org/W2981540341","https://openalex.org/W2981720610","https://openalex.org/W2986381065","https://openalex.org/W2991234496","https://openalex.org/W2998653622","https://openalex.org/W2998712190","https://openalex.org/W3034373371","https://openalex.org/W3034591020","https://openalex.org/W3035236545","https://openalex.org/W3035564946","https://openalex.org/W3035576098","https://openalex.org/W3038585207","https://openalex.org/W3092731465","https://openalex.org/W3095799614","https://openalex.org/W3109635165","https://openalex.org/W3109986233","https://openalex.org/W3126121388","https://openalex.org/W3128475431","https://openalex.org/W3142917731","https://openalex.org/W3152619510","https://openalex.org/W3153511633","https://openalex.org/W3163799992","https://openalex.org/W3169545167","https://openalex.org/W3175215201","https://openalex.org/W3183864931","https://openalex.org/W3194643899","https://openalex.org/W3206154535","https://openalex.org/W3207977952","https://openalex.org/W4214480085","https://openalex.org/W4224925019","https://openalex.org/W4226017279","https://openalex.org/W4246618583","https://openalex.org/W4304098271","https://openalex.org/W4312740566","https://openalex.org/W4384159707","https://openalex.org/W4386076298","https://openalex.org/W4387969738","https://openalex.org/W6639480849","https://openalex.org/W6676930901","https://openalex.org/W6703116779","https://openalex.org/W6745136726","https://openalex.org/W6746282794","https://openalex.org/W6748426227","https://openalex.org/W6752160200","https://openalex.org/W6754038005","https://openalex.org/W6762929394","https://openalex.org/W6767680423","https://openalex.org/W6774827837","https://openalex.org/W6779032094","https://openalex.org/W6779928312","https://openalex.org/W6780233385","https://openalex.org/W6781506369","https://openalex.org/W6784211923","https://openalex.org/W6785617663","https://openalex.org/W6785863445","https://openalex.org/W6789380839","https://openalex.org/W6795306211","https://openalex.org/W6803132187"],"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/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W2075445622"],"abstract_inverted_index":{"The":[0,171],"training":[1],"process":[2],"of":[3,49,75,141,153,173],"a":[4,46,57,84,138,157],"domain":[5],"generalization":[6,42,82],"(DG)":[7],"model":[8],"involves":[9],"utilizing":[10],"one":[11],"or":[12,33],"more":[13],"interrelated":[14],"source":[15,50,76,155],"domains":[16],"to":[17,38,71,136,149,164],"attain":[18],"optimal":[19],"performance":[20],"on":[21,97,126,182],"an":[22],"unseen":[23],"target":[24],"domain.":[25],"Existing":[26],"DG":[27],"methods":[28,200],"often":[29],"use":[30],"auxiliary":[31],"networks":[32],"require":[34],"high":[35],"computational":[36],"costs":[37],"improve":[39],"the":[40,68,73,80,100,130,151,154,174],"model's":[41,81],"ability":[43],"by":[44],"incorporating":[45],"diverse":[47],"set":[48],"domains.":[51,77],"In":[52],"contrast,":[53],"this":[54],"work":[55],"proposes":[56],"method":[58,159],"called":[59,160],"Smooth-Guided":[60],"Implicit":[61],"Data":[62],"Augmentation":[63],"(SGIDA)":[64],"that":[65,118],"operates":[66],"in":[67,122],"feature":[69],"space":[70],"capture":[72],"diversity":[74,152],"To":[78],"amplify":[79],"capacity,":[83],"distance":[85],"metric":[86],"learning":[87],"(DML)":[88],"loss":[89],"function":[90],"is":[91,133,162,177],"incorporated.":[92],"Additionally,":[93],"rather":[94],"than":[95],"depending":[96],"deep":[98],"features,":[99,128],"suggested":[101],"approach":[102,132,176],"employs":[103],"logits":[104,119,143],"produced":[105],"from":[106,168],"cross":[107],"entropy":[108],"(CE)":[109],"losses":[110],"with":[111],"infinite":[112],"augmentations.":[113],"A":[114],"theoretical":[115],"analysis":[116],"shows":[117],"are":[120,144],"effective":[121],"estimating":[123],"distances":[124],"defined":[125],"original":[127],"and":[129,188],"proposed":[131,175],"thoroughly":[134],"analyzed":[135],"provide":[137],"better":[139],"understanding":[140],"why":[142],"beneficial":[145],"for":[146],"DG.":[147],"Moreover,":[148],"increase":[150],"domain,":[156],"sampling-based":[158],"smooth":[161],"introduced":[163],"obtain":[165],"semantic":[166],"directions":[167],"interclass":[169],"relations.":[170],"effectiveness":[172],"demonstrated":[178],"through":[179],"extensive":[180],"experiments":[181],"widely":[183],"used":[184],"DG,":[185],"object":[186],"detection,":[187],"remote":[189],"sensing":[190],"datasets,":[191],"where":[192],"it":[193],"achieves":[194],"significant":[195],"improvements":[196],"over":[197],"existing":[198],"state-of-the-art":[199],"across":[201],"various":[202],"backbone":[203],"networks.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}