{"id":"https://openalex.org/W4389374328","doi":"https://doi.org/10.1145/3628797.3628938","title":"MCLDA: Multi-level Contrastive Learning for Domain Adaptive Semantic Segmentation","display_name":"MCLDA: Multi-level Contrastive Learning for Domain Adaptive Semantic Segmentation","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4389374328","doi":"https://doi.org/10.1145/3628797.3628938"},"language":"en","primary_location":{"id":"doi:10.1145/3628797.3628938","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3628797.3628938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Symposium on Information and Communication Technology","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102985429","display_name":"Ngo-Kien Duong","orcid":"https://orcid.org/0009-0007-3432-2672"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ngo-Kien Duong","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":"https://orcid.org/0009-0007-3432-2672","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107427910","display_name":"Thi-Oanh Nguyen","orcid":"https://orcid.org/0000-0002-6166-2011"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi-Oanh Nguyen","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-6166-2011","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025948040","display_name":"Dinh Viet Sang","orcid":"https://orcid.org/0000-0002-9254-1327"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Viet-Sang Dinh","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-9254-1327","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"343","last_page":"350"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9977999925613403,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965000152587891,"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":0.7989380359649658},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7064203023910522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6604906320571899},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.56081223487854},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5149434208869934},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5072243213653564},{"id":"https://openalex.org/keywords/copying","display_name":"Copying","score":0.4606286585330963},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4593278765678406},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45671242475509644},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4238736927509308},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4096093475818634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4044334888458252},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36538922786712646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3535997271537781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11836913228034973}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989380359649658},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7064203023910522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6604906320571899},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.56081223487854},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5149434208869934},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5072243213653564},{"id":"https://openalex.org/C2779151265","wikidata":"https://www.wikidata.org/wiki/Q1156791","display_name":"Copying","level":2,"score":0.4606286585330963},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4593278765678406},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45671242475509644},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4238736927509308},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4096093475818634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4044334888458252},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36538922786712646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3535997271537781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11836913228034973},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3628797.3628938","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3628797.3628938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Symposium on Information and Communication Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2895281799","https://openalex.org/W2985406498","https://openalex.org/W2992308087","https://openalex.org/W3035294798","https://openalex.org/W3108560336","https://openalex.org/W3120562181","https://openalex.org/W3175294391","https://openalex.org/W3202422321","https://openalex.org/W3217147624","https://openalex.org/W4242753176","https://openalex.org/W4286906661","https://openalex.org/W4295832130","https://openalex.org/W4312459164","https://openalex.org/W4317038436"],"related_works":["https://openalex.org/W4308771405","https://openalex.org/W2355873265","https://openalex.org/W2963669501","https://openalex.org/W3080197661","https://openalex.org/W4318471783","https://openalex.org/W2760667490","https://openalex.org/W2991781269","https://openalex.org/W775724729","https://openalex.org/W2137489486","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,36,67],"present":[4],"a":[5,22,69],"domain":[6],"adaptation":[7],"method":[8,19],"for":[9],"semantic":[10],"segmentation":[11,138],"in":[12,91,152],"the":[13,38,54,74,83,108,132,136,170],"context":[14],"of":[15,53,77,86,122,163,172],"autonomous":[16],"vehicles.":[17],"Our":[18],"builds":[20],"upon":[21],"self-training":[23],"approach":[24,148],"with":[25,131,160],"teacher-student":[26],"architecture":[27,139],"and":[28,46,94,114,124,158,165],"integrates":[29],"multi-level":[30],"contrastive":[31,39],"learning":[32,40],"mechanisms.":[33],"More":[34],"specifically,":[35],"apply":[37],"at":[41],"two":[42],"levels:":[43],"feature":[44],"level":[45],"output":[47],"level,":[48],"which":[49],"encourages":[50],"pixel":[51],"representations":[52],"same":[55,137],"category":[56],"to":[57,72],"cluster":[58],"together":[59],"while":[60],"promoting":[61],"dispersion":[62],"between":[63],"different":[64],"categories.":[65],"Additionally,":[66],"adapt":[68],"mixing":[70],"technique":[71],"address":[73],"imbalance":[75],"problem":[76],"dataset.":[78],"The":[79,105],"central":[80],"concept":[81],"involves":[82],"iterative":[84],"copying":[85],"pixels":[87],"from":[88],"common":[89],"classes":[90,154],"source":[92],"images":[93,99],"pasting":[95],"them":[96],"into":[97],"target":[98],"based":[100],"on":[101,107],"their":[102],"occurrence":[103],"frequency.":[104],"experiments":[106],"widely":[109],"used":[110],"GTA5":[111],"\u2192":[112,116],"Cityscapes":[113,117],"SYNTHIA":[115],"benchmarks":[118],"yield":[119],"mIoU":[120],"scores":[121,128,162],"56.76%":[123],"50.0%,":[125],"respectively.":[126],"These":[127],"are":[129],"comparable":[130],"best":[133],"methods":[134],"using":[135],"Deeplabv2":[140],"(ResNet101).":[141],"It":[142],"is":[143],"worth":[144],"noting":[145],"that":[146],"our":[147,173],"performs":[149],"notably":[150],"well":[151],"difficult":[153],"such":[155],"as":[156],"\u201ctruck\u201d":[157],"\u201cbus\u201d":[159],"respective":[161],"56.7%":[164],"57.0%.":[166],"This":[167],"further":[168],"underscores":[169],"effectiveness":[171],"proposal.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}