{"id":"https://openalex.org/W4386596927","doi":"https://doi.org/10.1109/icip49359.2023.10222121","title":"A Privacy-Preserving Approach for Multi-Source Domain Adaptive Object Detection","display_name":"A Privacy-Preserving Approach for Multi-Source Domain Adaptive Object Detection","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386596927","doi":"https://doi.org/10.1109/icip49359.2023.10222121"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222121","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5061532856","display_name":"Peggy Joy Lu","orcid":"https://orcid.org/0000-0001-9742-4173"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]},{"id":"https://openalex.org/I4210107525","display_name":"National Center for High-Performance Computing","ror":"https://ror.org/01jpzd518","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210107525","https://openalex.org/I4210128167","https://openalex.org/I4210166867"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Peggy Joy Lu","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan","Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","National Center for High-Performance Computing, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"National Center for High-Performance Computing, Taichung, Taiwan","institution_ids":["https://openalex.org/I4210107525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080946219","display_name":"Chia-Yung Jui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107525","display_name":"National Center for High-Performance Computing","ror":"https://ror.org/01jpzd518","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210107525","https://openalex.org/I4210128167","https://openalex.org/I4210166867"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Yung Jui","raw_affiliation_strings":["National Center for High-Performance Computing,Taichung,Taiwan","National Center for High-Performance Computing, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Center for High-Performance Computing,Taichung,Taiwan","institution_ids":["https://openalex.org/I4210107525"]},{"raw_affiliation_string":"National Center for High-Performance Computing, Taichung, Taiwan","institution_ids":["https://openalex.org/I4210107525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069670059","display_name":"Jen\u2010Hui Chuang","orcid":"https://orcid.org/0000-0002-4934-4811"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Hui Chuang","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan","Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061532856"],"corresponding_institution_ids":["https://openalex.org/I148366613","https://openalex.org/I4210107525"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52464644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"32","issue":null,"first_page":"1075","last_page":"1079"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980999827384949,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8322446346282959},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6824387907981873},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6660028696060181},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5117294788360596},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48938077688217163},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4818645417690277},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4561149775981903},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4399957060813904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4365387558937073},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.43448707461357117},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.42238155007362366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3855926990509033},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3303268849849701}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8322446346282959},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6824387907981873},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6660028696060181},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5117294788360596},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48938077688217163},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4818645417690277},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4561149775981903},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4399957060813904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4365387558937073},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.43448707461357117},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.42238155007362366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3855926990509033},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3303268849849701},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222121","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1726806267","https://openalex.org/W2150066425","https://openalex.org/W2340897893","https://openalex.org/W2528963632","https://openalex.org/W2748021867","https://openalex.org/W2963730616","https://openalex.org/W2964115968","https://openalex.org/W2968634921","https://openalex.org/W2981720610","https://openalex.org/W2989236540","https://openalex.org/W3034779842","https://openalex.org/W3035564946","https://openalex.org/W3121281282","https://openalex.org/W3130976481","https://openalex.org/W3166409449","https://openalex.org/W3174017534","https://openalex.org/W3204417859","https://openalex.org/W4214501771","https://openalex.org/W4282945772","https://openalex.org/W4308233888","https://openalex.org/W4312502508","https://openalex.org/W4312935973","https://openalex.org/W6637373629","https://openalex.org/W6728757088","https://openalex.org/W6754770232","https://openalex.org/W6761513881","https://openalex.org/W6770046221","https://openalex.org/W6770444568","https://openalex.org/W6772307254","https://openalex.org/W6789505266","https://openalex.org/W6838694358"],"related_works":["https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W2215759665","https://openalex.org/W2030292806","https://openalex.org/W2960358116","https://openalex.org/W2938171715","https://openalex.org/W4287727129","https://openalex.org/W3041172967","https://openalex.org/W2749065928","https://openalex.org/W2145503356"],"abstract_inverted_index":{"A":[0],"new":[1],"research":[2],"topic,":[3],"multi-source":[4],"domain":[5,100,111],"adaptive":[6],"object":[7],"detection":[8],"(MSDAOD)":[9],"under":[10],"privacy-preserving":[11,123],"constraint":[12],"is":[13,42,67,92],"explored":[14],"in":[15,127],"this":[16],"paper,":[17],"where":[18],"the":[19,29,45,70,78,105],"clients":[20,46],"can":[21,31],"only":[22,32],"access":[23,33],"their":[24],"own":[25],"source":[26],"data":[27],"while":[28,60,85],"server":[30,71],"unlabeled":[34],"target":[35,110],"data.":[36],"Accordingly,":[37],"a":[38,48,61,82,86],"novel":[39,87],"MSDAOD":[40,121],"framework":[41],"proposed":[43],"wherein":[44],"employ":[47],"source-only":[49],"Probabilistic":[50],"Faster":[51],"R-CNN":[52],"(PFRCNN)":[53],"to":[54,81,94],"generate":[55],"models":[56,80],"with":[57],"localization":[58],"uncertainty,":[59],"Multi-teacher":[62],"Pseudo-label":[63],"Ensemble":[64],"Network":[65],"(MPEN)":[66],"developed":[68],"on":[69],"side.":[72],"In":[73],"MPEN,":[74],"FedMA-based":[75],"algorithm":[76],"aggregates":[77],"above":[79],"domain-invariant":[83],"backbone":[84],"pseudo-label":[88],"ensemble":[89],"(PLE)":[90],"scheme":[91],"employed":[93],"reduce":[95],"false":[96],"positives":[97],"arising":[98],"from":[99],"specific":[101],"parts,":[102],"and":[103,122],"enhance":[104],"overall":[106],"system":[107],"performance":[108],"using":[109],"information.":[112],"Experiments":[113],"demonstrate":[114],"that":[115],"our":[116],"method":[117],"outperforms":[118],"other":[119],"state-of-the-art":[120],"methods":[124],"by":[125],"10%~16%":[126],"average":[128],"precision":[129],"(AP).":[130]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}