{"id":"https://openalex.org/W4388192600","doi":"https://doi.org/10.1145/3581783.3613821","title":"Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation","display_name":"Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388192600","doi":"https://doi.org/10.1145/3581783.3613821"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3613821","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3613821","pdf_url":null,"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":"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/A5074104093","display_name":"Chunwei Wu","orcid":"https://orcid.org/0000-0001-6209-3714"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunwei Wu","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027627793","display_name":"Guitao Cao","orcid":"https://orcid.org/0000-0002-4059-4806"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guitao Cao","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101546528","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-8403-7614"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["Shanghai Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Normal University, Shanghai, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038703976","display_name":"Xidong Xi","orcid":"https://orcid.org/0000-0002-7625-5443"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xidong Xi","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625024","display_name":"Wenming Cao","orcid":"https://orcid.org/0000-0002-8174-6167"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Cao","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022663453","display_name":"Hong Wang","orcid":"https://orcid.org/0000-0001-5856-4376"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["Shanghai Research Institute of Microwave Equipment, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Research Institute of Microwave Equipment, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074104093"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.1961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57006733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2877","last_page":"2887"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9907000064849854,"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/T12676","display_name":"Machine Learning and ELM","score":0.9431999921798706,"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/computer-science","display_name":"Computer science","score":0.6079943776130676},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5619492530822754},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.49690893292427063},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4765397012233734},{"id":"https://openalex.org/keywords/chaos","display_name":"CHAOS (operating system)","score":0.46700891852378845},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41805899143218994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21250545978546143},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20423772931098938},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16703322529792786},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10656613111495972},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07483968138694763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079943776130676},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5619492530822754},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.49690893292427063},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4765397012233734},{"id":"https://openalex.org/C2779374083","wikidata":"https://www.wikidata.org/wiki/Q5011038","display_name":"CHAOS (operating system)","level":2,"score":0.46700891852378845},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41805899143218994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21250545978546143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20423772931098938},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16703322529792786},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10656613111495972},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07483968138694763},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3613821","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3613821","pdf_url":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6376707865","display_name":null,"funder_award_id":"61771322; 61871186","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":21,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2979805229","https://openalex.org/W2982204955","https://openalex.org/W3034218934","https://openalex.org/W3035519852","https://openalex.org/W3035682985","https://openalex.org/W3043969940","https://openalex.org/W3176130056","https://openalex.org/W3192275354","https://openalex.org/W3198731329","https://openalex.org/W3201774370","https://openalex.org/W3203098462","https://openalex.org/W4214715922","https://openalex.org/W4297969478","https://openalex.org/W4299786707","https://openalex.org/W4301320022","https://openalex.org/W4312399508","https://openalex.org/W4360584643","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W2149537132","https://openalex.org/W2018871932","https://openalex.org/W2320196587","https://openalex.org/W641279757","https://openalex.org/W370975646","https://openalex.org/W1670566515","https://openalex.org/W4242022592","https://openalex.org/W596972243","https://openalex.org/W2997567050","https://openalex.org/W2377797706"],"abstract_inverted_index":{"Source-free":[0],"domain":[1,25],"adaptation":[2,26],"(SFDA),":[3],"where":[4],"only":[5,232],"a":[6,19,95],"pre-trained":[7],"source":[8],"model":[9],"is":[10,18],"used":[11],"to":[12,14,23,36,47,75,92,102,136,152,166,172,184,192,202,215,236],"adapt":[13],"the":[15,28,38,42,48,54,59,63,80,115,125,129,133,138,173,186,189,197,208,212,217,253,256],"target":[16,43,55,64,111,116],"distribution,":[17],"more":[20],"general":[21],"approach":[22,97],"achieving":[24],"in":[27],"real":[29],"world.":[30],"However,":[31],"it":[32,195],"can":[33],"be":[34],"challenging":[35],"capture":[37],"inherent":[39],"structure":[40,150],"of":[41,50,62,82,128,211,255],"features":[44,73],"accurately":[45],"due":[46],"lack":[49,79],"supervised":[51],"information":[52,109],"on":[53,124,258],"domain.":[56],"By":[57],"analyzing":[58],"clustering":[60,242],"performance":[61],"features,":[65],"we":[66,89,226],"show":[67],"that":[68,100,228,250],"they":[69],"still":[70],"contain":[71],"core":[72],"related":[74],"discriminative":[76],"attributes":[77],"but":[78,238],"collation":[81],"semantic":[83,104,219],"information.":[84],"Inspired":[85],"by":[86,163,179],"this":[87],"insight,":[88],"present":[90],"Chaos":[91],"Order":[93],"(CtO),":[94],"novel":[96],"for":[98,147],"SFDA":[99],"strives":[101],"constrain":[103,216],"credibility":[105],"and":[106,120,223,264],"propagate":[107,185],"label":[108],"among":[110],"subpopulations.":[112],"CtO":[113,251],"divides":[114],"data":[117,139],"into":[118],"inner":[119,143,190,213,235],"outlier":[121,159,193,237],"samples":[122,144,160,199,214],"based":[123],"adaptive":[126],"threshold":[127],"learning":[130,134,148,182],"state,":[131],"customizing":[132],"strategy":[135],"fit":[137],"properties":[140],"best.":[141],"Specifically,":[142],"are":[145,161],"utilized":[146],"intra-class":[149],"thanks":[151],"their":[153],"relatively":[154],"well-clustered":[155],"properties.":[156],"The":[157],"low-density":[158],"regularized":[162],"input":[164],"consistency":[165],"achieve":[167],"high":[168],"accuracy":[169],"with":[170],"respect":[171],"ground":[174],"truth":[175],"labels.":[176],"In":[177,221],"CtO,":[178],"employing":[180],"different":[181],"strategies":[183],"labels":[187],"from":[188,200,234,243],"local":[191,218,241],"instances,":[194],"clusters":[196],"global":[198],"chaos":[201],"order.":[203],"We":[204],"further":[205],"adaptively":[206],"regulate":[207],"neighborhood":[209],"affinity":[210],"credibility.":[220],"theoretical":[222],"empirical":[224],"analyses,":[225],"demonstrate":[227],"our":[229],"algorithm":[230],"not":[231],"propagates":[233],"also":[239],"prevents":[240],"forming":[244],"spurious":[245],"clusters.":[246],"Empirical":[247],"evidence":[248],"demonstrates":[249],"outperforms":[252],"state":[254],"arts":[257],"three":[259],"public":[260],"benchmarks:":[261],"Office-31,":[262],"Office-Home,":[263],"VisDA.":[265]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
