{"id":"https://openalex.org/W4388190598","doi":"https://doi.org/10.1145/3581783.3612318","title":"Parameter Exchange for Robust Dynamic Domain Generalization","display_name":"Parameter Exchange for Robust Dynamic Domain Generalization","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388190598","doi":"https://doi.org/10.1145/3581783.3612318"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612318","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612318","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612318","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612318","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010577514","display_name":"Luojun Lin","orcid":"https://orcid.org/0000-0002-1141-2487"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luojun Lin","raw_affiliation_strings":["Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1141-2487","affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020401033","display_name":"Z. Shen","orcid":"https://orcid.org/0000-0002-2215-4479"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Shen","raw_affiliation_strings":["Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2215-4479","affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041546555","display_name":"Zhishu Sun","orcid":"https://orcid.org/0000-0002-0832-1509"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhishu Sun","raw_affiliation_strings":["Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0832-1509","affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053193108","display_name":"Yuanlong Yu","orcid":"https://orcid.org/0000-0002-2112-6214"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanlong Yu","raw_affiliation_strings":["Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2112-6214","affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106578837","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-5305-8543"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-5305-8543","affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100686044","display_name":"Weijie Chen","orcid":"https://orcid.org/0000-0001-5508-473X"},"institutions":[{"id":"https://openalex.org/I4210132223","display_name":"Zhejiang Radio and Television University","ror":"https://ror.org/02kpaqs60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132223"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Chen","raw_affiliation_strings":["Hikvision Research Institute &amp; Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5508-473X","affiliations":[{"raw_affiliation_string":"Hikvision Research Institute &amp; Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210132223","https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5227,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85552081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7354","last_page":"7362"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9926000237464905,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7292660474777222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.629062294960022},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49828290939331055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20903289318084717},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.054598093032836914}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7292660474777222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.629062294960022},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49828290939331055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20903289318084717},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.054598093032836914}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3581783.3612318","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612318","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612318","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2311.13928","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.13928","pdf_url":"https://arxiv.org/pdf/2311.13928","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3581783.3612318","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612318","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612318","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1471668062","display_name":null,"funder_award_id":"U21A20471","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G1702828313","display_name":null,"funder_award_id":"U21A20471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G604605923","display_name":"\u4e0d\u5b8c\u5907\u76d1\u7763\u4fe1\u53f7\u7ea6\u675f\u4e0b\u7684\u8de8\u573a\u666f\u89c6\u89c9\u611f\u77e5","funder_award_id":"2022J05135","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320323190","display_name":"Fujian Provincial Department of Science and Technology","ror":"https://ror.org/00rgzpv08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388190598.pdf","grobid_xml":"https://content.openalex.org/works/W4388190598.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W2017814585","https://openalex.org/W2031489346","https://openalex.org/W2110764733","https://openalex.org/W2155904486","https://openalex.org/W2167366427","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2627183927","https://openalex.org/W2758584002","https://openalex.org/W2763549966","https://openalex.org/W2765407302","https://openalex.org/W2798658180","https://openalex.org/W2883386984","https://openalex.org/W2889965839","https://openalex.org/W2892623062","https://openalex.org/W2894728917","https://openalex.org/W2958360136","https://openalex.org/W2963043696","https://openalex.org/W2963118547","https://openalex.org/W2963173418","https://openalex.org/W2965131684","https://openalex.org/W2970119729","https://openalex.org/W2981368934","https://openalex.org/W2981720610","https://openalex.org/W2998653622","https://openalex.org/W2998712190","https://openalex.org/W3013459733","https://openalex.org/W3038585207","https://openalex.org/W3088222393","https://openalex.org/W3095799614","https://openalex.org/W3109042658","https://openalex.org/W3109986233","https://openalex.org/W3117088788","https://openalex.org/W3126219352","https://openalex.org/W3132342572","https://openalex.org/W3142917731","https://openalex.org/W3153511633","https://openalex.org/W3160132954","https://openalex.org/W3174337559","https://openalex.org/W3175215201","https://openalex.org/W3182963544","https://openalex.org/W3183864931","https://openalex.org/W3206097584","https://openalex.org/W3212348395","https://openalex.org/W3214575451","https://openalex.org/W4214736652","https://openalex.org/W4214810032","https://openalex.org/W4224797805","https://openalex.org/W4285606900","https://openalex.org/W4287115214","https://openalex.org/W4287728573","https://openalex.org/W4289479004","https://openalex.org/W4296412923","https://openalex.org/W4297094921","https://openalex.org/W4308787883","https://openalex.org/W4312575870","https://openalex.org/W4312765682","https://openalex.org/W4312810753","https://openalex.org/W4320855434","https://openalex.org/W4386160304","https://openalex.org/W4387680748","https://openalex.org/W6600291067","https://openalex.org/W6796913975"],"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/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032"],"abstract_inverted_index":{"Agnostic":[0],"domain":[1,224],"shift":[2],"is":[3,116],"the":[4,11,37,49,86,96,102,121,132,138,145,151,177,180,187,190,194,203,209,222,228,231],"main":[5,114],"reason":[6],"of":[7,51,61,98],"model":[8,188],"degradation":[9],"on":[10,36,85,157,230],"unknown":[12,38,232],"target":[13,39,233],"domains,":[14,40],"which":[15,46,74,219],"brings":[16],"an":[17,110],"urgent":[18],"need":[19],"to":[20,32,77,94,124,154,175,200,248],"develop":[21],"Domain":[22,43],"generalization":[23,251],"(DG).":[24],"Recent":[25],"advances":[26],"at":[27],"DG":[28],"use":[29],"dynamic":[30,62,72,105,152,183,246],"networks":[31,63,247],"achieve":[33,202],"training-free":[34],"adaptation":[35],"termed":[41],"Dynamic":[42],"Generalization":[44],"(DDG),":[45],"compensates":[47],"for":[48],"lack":[50],"self-adaptability":[52,229],"in":[53,89,215],"static":[54,69,103,122,146,181],"models":[55],"with":[56],"fixed":[57],"weights.":[58],"The":[59],"parameters":[60],"can":[64,119,148,212,220,240],"be":[65,213,241],"decoupled":[66],"into":[67,244],"a":[68,71,136,167,216],"and":[70,80,104,182,196,226,255],"component,":[73],"are":[75],"designed":[76],"learn":[78,125],"domain-invariant":[79,126,141],"domain-specific":[81,133,160],"features,":[82],"respectively.":[83],"Based":[84],"existing":[87,245],"arts,":[88],"this":[90,163,207],"work,":[91],"we":[92,118,165],"try":[93],"push":[95],"limits":[97],"DDG":[99],"by":[100,130,144],"disentangling":[101],"components":[106,211],"more":[107,128,139,156],"thoroughly":[108],"from":[109,192],"optimization":[111],"perspective.":[112],"Our":[113],"consideration":[115],"that":[117,238],"enable":[120],"component":[123,147,153],"features":[127,142],"comprehensively":[129],"augmenting":[131],"information.":[134],"As":[135],"result,":[137],"comprehensive":[140],"learned":[143],"then":[149],"enforce":[150],"focus":[155],"learning":[158],"adaptive":[159],"features.":[161],"To":[162],"end,":[164],"propose":[166],"simple":[168],"yet":[169],"effective":[170],"Parameter":[171],"Exchange":[172],"(PE)":[173],"method":[174],"perturb":[176],"combination":[178],"between":[179],"components.":[184],"We":[185],"optimize":[186],"using":[189],"gradients":[191],"both":[193],"perturbed":[195],"non-perturbed":[197],"feed-forward":[198],"jointly":[199],"implicitly":[201],"aforementioned":[204],"disentanglement.":[205],"In":[206],"way,":[208],"two":[210],"optimized":[214],"mutually-beneficial":[217],"manner,":[218],"resist":[221],"agnostic":[223],"shifts":[225],"improve":[227,249],"domain.":[234],"Extensive":[235],"experiments":[236],"show":[237],"PE":[239],"easily":[242],"plugged":[243],"their":[250],"ability":[252],"without":[253],"bells":[254],"whistles.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
