{"id":"https://openalex.org/W4295788754","doi":"https://doi.org/10.1109/tcsvt.2022.3206476","title":"Context-Aware Mixup for Domain Adaptive Semantic Segmentation","display_name":"Context-Aware Mixup for Domain Adaptive Semantic Segmentation","publication_year":2022,"publication_date":"2022-09-14","ids":{"openalex":"https://openalex.org/W4295788754","doi":"https://doi.org/10.1109/tcsvt.2022.3206476"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3206476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3206476","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5031210225","display_name":"Qianyu Zhou","orcid":"https://orcid.org/0000-0002-5331-050X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianyu Zhou","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008509350","display_name":"Zhengyang Feng","orcid":"https://orcid.org/0000-0001-9096-6877"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyang Feng","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020540329","display_name":"Qiqi Gu","orcid":"https://orcid.org/0000-0001-9777-0471"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Gu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020672335","display_name":"Jiangmiao Pang","orcid":"https://orcid.org/0000-0002-6711-9319"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangmiao Pang","raw_affiliation_strings":["Shanghai AI Laboratory, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045854934","display_name":"Guangliang Cheng","orcid":"https://orcid.org/0000-0002-1428-8848"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangliang Cheng","raw_affiliation_strings":["SenseTime Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019288783","display_name":"Xuequan Lu","orcid":"https://orcid.org/0000-0003-0959-408X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuequan Lu","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103125510","display_name":"Jianping Shi","orcid":"https://orcid.org/0000-0003-3257-8272"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Shi","raw_affiliation_strings":["SenseTime Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084218062","display_name":"Lizhuang Ma","orcid":"https://orcid.org/0000-0003-1653-4341"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhuang Ma","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5031210225"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":17.0992,"has_fulltext":false,"cited_by_count":128,"citation_normalized_percentile":{"value":0.99388271,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"33","issue":"2","first_page":"804","last_page":"817"},"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":0.991599977016449,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9562000036239624,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8528037667274475},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6419268846511841},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6275806427001953},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6067783832550049},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5987487435340881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5726721286773682},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5307847261428833},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.5208519101142883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4604189693927765},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.4496663808822632},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4491708278656006},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4477083683013916},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.44134521484375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3438299894332886},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.11487254500389099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07631081342697144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8528037667274475},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6419268846511841},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6275806427001953},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6067783832550049},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5987487435340881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5726721286773682},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5307847261428833},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.5208519101142883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4604189693927765},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4496663808822632},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4491708278656006},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4477083683013916},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.44134521484375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3438299894332886},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.11487254500389099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07631081342697144},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3206476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3206476","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1014109120","display_name":null,"funder_award_id":"72192821","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2242052824","display_name":null,"funder_award_id":"I8ZD22","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"},{"id":"https://openalex.org/G3429353868","display_name":null,"funder_award_id":"21511101200","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G6165465362","display_name":null,"funder_award_id":"61972157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6946864964","display_name":null,"funder_award_id":"22YF1420300","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G7685443560","display_name":null,"funder_award_id":"2019YFC1521104","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":102,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2515791897","https://openalex.org/W2560023338","https://openalex.org/W2562192638","https://openalex.org/W2739759330","https://openalex.org/W2787091153","https://openalex.org/W2805760974","https://openalex.org/W2895281799","https://openalex.org/W2905535599","https://openalex.org/W2944141891","https://openalex.org/W2948959975","https://openalex.org/W2950111065","https://openalex.org/W2962793481","https://openalex.org/W2962976523","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963120918","https://openalex.org/W2964184998","https://openalex.org/W2965711922","https://openalex.org/W2969893028","https://openalex.org/W2972285644","https://openalex.org/W2981512393","https://openalex.org/W2985406498","https://openalex.org/W2985409929","https://openalex.org/W2986831462","https://openalex.org/W2987385519","https://openalex.org/W2990069979","https://openalex.org/W2997310315","https://openalex.org/W2998607115","https://openalex.org/W3002879391","https://openalex.org/W3017324723","https://openalex.org/W3034272105","https://openalex.org/W3034417116","https://openalex.org/W3034562924","https://openalex.org/W3035236545","https://openalex.org/W3035256099","https://openalex.org/W3035294798","https://openalex.org/W3048402753","https://openalex.org/W3082576756","https://openalex.org/W3095697905","https://openalex.org/W3101281919","https://openalex.org/W3101468328","https://openalex.org/W3102977943","https://openalex.org/W3107502112","https://openalex.org/W3107590933","https://openalex.org/W3107909383","https://openalex.org/W3108560336","https://openalex.org/W3108566666","https://openalex.org/W3108678367","https://openalex.org/W3109470472","https://openalex.org/W3110486195","https://openalex.org/W3116730076","https://openalex.org/W3118969708","https://openalex.org/W3120562181","https://openalex.org/W3120800376","https://openalex.org/W3120804725","https://openalex.org/W3134134173","https://openalex.org/W3160711975","https://openalex.org/W3166129411","https://openalex.org/W3169379378","https://openalex.org/W3173206925","https://openalex.org/W3177192381","https://openalex.org/W3188258165","https://openalex.org/W3202115483","https://openalex.org/W3202407433","https://openalex.org/W3202509896","https://openalex.org/W3204469733","https://openalex.org/W3209519737","https://openalex.org/W3210097264","https://openalex.org/W3217147624","https://openalex.org/W4221089019","https://openalex.org/W4229723800","https://openalex.org/W4246618583","https://openalex.org/W4282922170","https://openalex.org/W4286906661","https://openalex.org/W4287823849","https://openalex.org/W4309951129","https://openalex.org/W4312529715","https://openalex.org/W4313057181","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639480849","https://openalex.org/W6703116779","https://openalex.org/W6730623217","https://openalex.org/W6733814495","https://openalex.org/W6745986955","https://openalex.org/W6746282794","https://openalex.org/W6757817989","https://openalex.org/W6762823943","https://openalex.org/W6775687064","https://openalex.org/W6776411772","https://openalex.org/W6788636960","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W17155033","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W3207760230","https://openalex.org/W4292849932"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,13,27,70,131],"adaptation":[2],"(UDA)":[3],"aims":[4],"to":[5,14,55,148],"adapt":[6],"a":[7,63,86,102,144],"model":[8],"of":[9,40,79,167,181],"the":[10,26,44,93,96,109,129,139,150,153,158,164,168,179,185],"labeled":[11],"source":[12],"an":[15],"unlabeled":[16],"target":[17,97],"domain.":[18,98],"Existing":[19],"UDA-based":[20],"semantic":[21,72],"segmentation":[22],"approaches":[23,187],"always":[24],"reduce":[25],"shifts":[28],"in":[29,85,123],"pixel":[30],"level,":[31,33],"feature":[32],"and":[34,113,126,157,176],"output":[35],"level.":[36],"However,":[37],"almost":[38],"all":[39],"them":[41],"largely":[42],"neglect":[43],"contextual":[45,103,115,119],"dependency,":[46],"which":[47,74,162],"is":[48,121],"generally":[49],"shared":[50],"across":[51],"different":[52,135],"domains,":[53],"leading":[54],"less-desired":[56],"performance.":[57],"In":[58],"this":[59,76,124],"paper,":[60],"we":[61,100,142],"propose":[62],"novel":[64],"Context-Aware":[65],"Mixup":[66],"(CAMix)":[67],"framework":[68],"for":[69,91],"adaptive":[71],"segmentation,":[73],"exploits":[75],"important":[77],"clue":[78],"context-dependency":[80],"as":[81],"explicit":[82],"prior":[83,114],"knowledge":[84],"fully":[87],"end-to-end":[88],"trainable":[89],"manner":[90],"enhancing":[92],"adaptability":[94],"toward":[95],"Firstly,":[99],"present":[101],"mask":[104,120],"generation":[105],"strategy":[106],"by":[107],"leveraging":[108],"accumulated":[110],"spatial":[111],"distributions":[112],"relationships.":[116],"The":[117],"generated":[118],"critical":[122],"work":[125],"will":[127],"guide":[128],"context-aware":[130],"mixup":[132],"on":[133,188],"three":[134],"levels.":[136],"Besides,":[137],"provided":[138],"context":[140],"knowledge,":[141],"introduce":[143],"significance-reweighted":[145],"consistency":[146],"loss":[147],"penalize":[149],"inconsistency":[151],"between":[152],"mixed":[154,159],"student":[155],"prediction":[156],"teacher":[160],"prediction,":[161],"alleviates":[163],"negative":[165],"transfer":[166],"adaptation,":[169],"e.g.,":[170],"early":[171],"performance":[172],"degradation.":[173],"Extensive":[174],"experiments":[175],"analysis":[177],"demonstrate":[178],"effectiveness":[180],"our":[182],"method":[183],"against":[184],"state-of-the-art":[186],"widely-used":[189],"UDA":[190],"benchmarks.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":50},{"year":2023,"cited_by_count":35},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}