{"id":"https://openalex.org/W4304086873","doi":"https://doi.org/10.1145/3503161.3548152","title":"Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer","display_name":"Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304086873","doi":"https://doi.org/10.1145/3503161.3548152"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548152","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548152","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th 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/A5101478197","display_name":"Xinyao Li","orcid":"https://orcid.org/0000-0002-5109-9966"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyao Li","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003786587","display_name":"Zhekai Du","orcid":"https://orcid.org/0000-0002-9406-3920"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhekai Du","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338386","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0002-5504-2529"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Li","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108048954","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0002-2993-7142"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079281855","display_name":"Ke L\u00fc","orcid":"https://orcid.org/0000-0002-3456-4993"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101478197"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.8709,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8785822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5802","last_page":"5810"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9882000088691711,"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":0.9079999923706055,"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/computer-science","display_name":"Computer science","score":0.8050695657730103},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.7521633505821228},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7043291330337524},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.639522135257721},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6176986694335938},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4753437042236328},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.46673262119293213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4325743317604065},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.41077661514282227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3654944896697998},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33232587575912476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07580298185348511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050695657730103},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.7521633505821228},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7043291330337524},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.639522135257721},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6176986694335938},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4753437042236328},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.46673262119293213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4325743317604065},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.41077661514282227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3654944896697998},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33232587575912476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07580298185348511},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3548152","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548152","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3115174496","display_name":null,"funder_award_id":"62176042","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":28,"referenced_works":["https://openalex.org/W149023494","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2341914330","https://openalex.org/W2627183927","https://openalex.org/W2786808285","https://openalex.org/W2883725317","https://openalex.org/W2955273087","https://openalex.org/W2955547856","https://openalex.org/W2956371155","https://openalex.org/W2963037989","https://openalex.org/W2963978428","https://openalex.org/W3006683596","https://openalex.org/W3010360081","https://openalex.org/W3018638193","https://openalex.org/W3034218934","https://openalex.org/W3035519852","https://openalex.org/W3092527263","https://openalex.org/W3131415659","https://openalex.org/W3148981562","https://openalex.org/W3181127262","https://openalex.org/W3182214289","https://openalex.org/W3198731329","https://openalex.org/W3202165894","https://openalex.org/W3206525885","https://openalex.org/W4312283137","https://openalex.org/W6784323503"],"related_works":["https://openalex.org/W3035557009","https://openalex.org/W3204418343","https://openalex.org/W2341113105","https://openalex.org/W2955172689","https://openalex.org/W3132602785","https://openalex.org/W3046182208","https://openalex.org/W2343346879","https://openalex.org/W2186589590","https://openalex.org/W4297818280","https://openalex.org/W772479628"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,12,22,53,58,92,199],"adaptation":[2,23,114,200],"(UDA)":[3],"aims":[4],"at":[5],"transferring":[6],"knowledge":[7],"from":[8,166],"one":[9],"labeled":[10],"source":[11,47,57,116,206],"to":[13,49,112,125,157,195,205],"a":[14,29,78,86,97,119,173],"related":[15],"but":[16],"unlabeled":[17,82],"target":[18,61,83,110],"domain.":[19],"Recently,":[20],"active":[21,91,147,198],"(ADA)":[24],"has":[25],"been":[26],"proposed":[27],"as":[28],"new":[30,87],"paradigm":[31],"which":[32,63,103],"significantly":[33],"boosts":[34],"performance":[35],"of":[36],"UDA":[37,185],"with":[38,76,136,164],"minor":[39],"additional":[40],"labeling.":[41],"However,":[42],"existing":[43],"ADA":[44,75],"methods":[45,201],"require":[46],"data":[48,111],"explicitly":[50],"measure":[51],"the":[52,56,60,127,167],"gap":[54],"between":[55],"and":[59,81,105,170],"domain,":[62],"is":[64,123,154,177,191],"restricted":[65],"in":[66],"many":[67],"real-world":[68],"scenarios.":[69],"In":[70],"this":[71],"work,":[72],"we":[73,95],"handle":[74],"only":[77],"source-pretrained":[79],"model":[80,176],"data,":[84],"proposing":[85],"setting":[88],"named":[89],"source-free":[90],"adaptation.":[93,131],"Specifically,":[94],"propose":[96],"Locality":[98],"Preserving":[99],"Transfer":[100],"(LPT)":[101],"framework":[102],"preserves":[104],"utilizes":[106],"locality":[107,138],"structures":[108],"on":[109,181],"achieve":[113],"without":[115,203],"data.":[117,207],"Meanwhile,":[118],"label":[120],"propagation":[121],"strategy":[122,153],"adopted":[124],"improve":[126],"discriminability":[128],"for":[129,146,160],"better":[130],"After":[132],"LPT,":[133],"unique":[134],"samples":[135,169],"insignificant":[137],"structure":[139],"are":[140],"identified":[141],"by":[142],"an":[143],"energy-based":[144,150],"approach":[145],"annotation.":[148],"An":[149],"pseudo":[151,171],"labeling":[152],"further":[155],"applied":[156],"generate":[158],"labels":[159],"reliable":[161],"samples.":[162],"Finally,":[163],"supervision":[165],"annotated":[168],"labels,":[172],"well":[174],"adapted":[175],"obtained.":[178],"Extensive":[179],"experiments":[180],"three":[182],"widely":[183],"used":[184],"benchmarks":[186],"show":[187],"that":[188],"our":[189],"method":[190],"comparable":[192],"or":[193],"superior":[194],"current":[196],"state-of-the-art":[197],"even":[202],"access":[204]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
