{"id":"https://openalex.org/W4388186252","doi":"https://doi.org/10.1145/3581783.3611896","title":"Adaptive Feature Swapping for Unsupervised Domain Adaptation","display_name":"Adaptive Feature Swapping for Unsupervised Domain Adaptation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388186252","doi":"https://doi.org/10.1145/3581783.3611896"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611896","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3611896","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3611896","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":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3611896","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001393670","display_name":"Junbao Zhuo","orcid":"https://orcid.org/0000-0001-9587-498X"},"institutions":[{"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junbao Zhuo","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087916122","display_name":"Xingyu Zhao","orcid":"https://orcid.org/0009-0007-2386-3844"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingyu Zhao","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014375168","display_name":"Shuhao Cui","orcid":"https://orcid.org/0000-0002-5508-1712"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuhao Cui","raw_affiliation_strings":["Meituan Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meituan Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["University of Chinese Academy of Sciences & Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences & Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100669242","display_name":"Shuhui Wang","orcid":"https://orcid.org/0000-0002-5931-0527"},"institutions":[{"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhui Wang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001393670"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":1.5657,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86708652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7017","last_page":"7028"},"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":0.9993000030517578,"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":0.9993000030517578,"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":0.9799000024795532,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9708999991416931,"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":0.8205028772354126},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7295647263526917},{"id":"https://openalex.org/keywords/swap","display_name":"Swap (finance)","score":0.5891915559768677},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.5879680514335632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5782553553581238},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5400328040122986},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5274857878684998},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5083548426628113},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5047498941421509},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4655701816082001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4536544382572174},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4518933594226837},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4362753629684448},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4294889569282532},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36463019251823425},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.22924691438674927},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.1943383812904358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8205028772354126},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7295647263526917},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.5891915559768677},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.5879680514335632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5782553553581238},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5400328040122986},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5274857878684998},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5083548426628113},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5047498941421509},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4655701816082001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4536544382572174},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4518933594226837},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4362753629684448},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4294889569282532},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36463019251823425},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.22924691438674927},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.1943383812904358},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3611896","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3611896","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3611896","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":{"id":"doi:10.1145/3581783.3611896","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3611896","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3611896","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/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4199693610","display_name":null,"funder_award_id":"62236008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4789637049","display_name":null,"funder_award_id":"62022083,62236008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5327851226","display_name":null,"funder_award_id":"62022083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6286933758","display_name":null,"funder_award_id":"2018AAA0102000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7801426869","display_name":null,"funder_award_id":"61931008","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388186252.pdf","grobid_xml":"https://content.openalex.org/works/W4388186252.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W2034368206","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2487365028","https://openalex.org/W2627183927","https://openalex.org/W2747329762","https://openalex.org/W2752782242","https://openalex.org/W2955058313","https://openalex.org/W2962687275","https://openalex.org/W2963073217","https://openalex.org/W2963532621","https://openalex.org/W2963789515","https://openalex.org/W2964288524","https://openalex.org/W2965954137","https://openalex.org/W2970092410","https://openalex.org/W2972285644","https://openalex.org/W2979920800","https://openalex.org/W2980096013","https://openalex.org/W2981630749","https://openalex.org/W2982204955","https://openalex.org/W2982410491","https://openalex.org/W2985406498","https://openalex.org/W2999905431","https://openalex.org/W3034591020","https://openalex.org/W3035256099","https://openalex.org/W3035456997","https://openalex.org/W3035480894","https://openalex.org/W3108560336","https://openalex.org/W3109093849","https://openalex.org/W3119635706","https://openalex.org/W3135384301","https://openalex.org/W3175294391","https://openalex.org/W3198731329","https://openalex.org/W3202958772","https://openalex.org/W3207977952","https://openalex.org/W3213646008","https://openalex.org/W4214623175","https://openalex.org/W4246618583","https://openalex.org/W4304080406","https://openalex.org/W6600195515","https://openalex.org/W6600339963","https://openalex.org/W6688325169","https://openalex.org/W6791861950"],"related_works":["https://openalex.org/W1504394672","https://openalex.org/W2622284819","https://openalex.org/W3089381707","https://openalex.org/W3034190530","https://openalex.org/W2741297526","https://openalex.org/W4295728955","https://openalex.org/W3129794609","https://openalex.org/W2949033103","https://openalex.org/W2304083841","https://openalex.org/W2362448732"],"abstract_inverted_index":{"The":[0,103,121],"bottleneck":[1],"of":[2,11,112],"visual":[3],"domain":[4,12,31],"adaptation":[5],"always":[6],"lies":[7],"in":[8,34,145],"the":[9,64,79,106,124,130,149],"learning":[10,30],"invariant":[13,32],"representations.":[14],"In":[15,76],"this":[16,77],"paper,":[17],"we":[18],"present":[19],"a":[20],"simple":[21],"but":[22],"effective":[23],"technique":[24],"named":[25],"Adaptive":[26,39,153],"Feature":[27,40,154],"Swapping":[28,41,155],"for":[29,70],"features":[33,47,59,113],"Unsupervised":[35],"Domain":[36],"Adaptation":[37],"(UDA).":[38],"aims":[42],"to":[43,83,89,108,118,126,129],"select":[44],"semantically":[45],"irrelevant":[46],"from":[48],"labeled":[49],"source":[50],"data":[51,55],"and":[52,56,100,114,132,142,148],"unlabeled":[53],"target":[54],"swap":[57],"these":[58],"with":[60,72],"each":[61],"other.":[62],"Then":[63],"merged":[65],"representations":[66,85],"are":[67,87,164],"also":[68],"utilized":[69],"training":[71],"prediction":[73],"consistency":[74],"constraints.":[75],"way,":[78],"model":[80,107,125],"is":[81],"encouraged":[82],"learn":[84],"that":[86,152],"robust":[88,128],"domain-specific":[90],"information.":[91,120],"We":[92,136],"develop":[93],"two":[94],"swapping":[95,99],"strategies":[96],"including":[97],"channel":[98],"spatial":[101],"swapping.":[102],"former":[104],"encourages":[105],"squeeze":[109],"redundancy":[110],"out":[111],"pay":[115],"more":[116],"attention":[117],"semantic":[119,143],"latter":[122],"motivates":[123],"be":[127],"background":[131],"focus":[133],"on":[134,139],"objects.":[135],"conduct":[137],"experiments":[138],"object":[140],"recognition":[141],"segmentation":[144],"UDA":[146,160],"setting":[147],"results":[150],"show":[151],"can":[156],"promote":[157],"various":[158],"existing":[159],"methods.":[161],"Our":[162],"codes":[163],"publicly":[165],"available":[166],"at":[167],"https://github.com/junbaoZHUO/AFS.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}