{"id":"https://openalex.org/W3205594649","doi":"https://doi.org/10.1145/3474085.3475482","title":"Domain Adaptive Semantic Segmentation without Source Data","display_name":"Domain Adaptive Semantic Segmentation without Source Data","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3205594649","doi":"https://doi.org/10.1145/3474085.3475482","mag":"3205594649"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475482","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th 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/A5080787177","display_name":"Fuming You","orcid":null},"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":"Fuming You","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 Unversity, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Normal Unversity, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456835","display_name":"Zhi Chen","orcid":"https://orcid.org/0000-0002-9385-144X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhi Chen","raw_affiliation_strings":["University of Queensland, Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"University of Queensland, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078170935","display_name":"Zi Huang","orcid":"https://orcid.org/0000-0002-9738-4949"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zi Huang","raw_affiliation_strings":["University of Queensland, Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"University of Queensland, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080787177"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":5.167,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96231538,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3293","last_page":"3302"},"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":0.991100013256073,"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":0.9495999813079834,"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":0.8315644860267639},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7703484296798706},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.635273277759552},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.6288019418716431},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6180649995803833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5800054669380188},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5028740763664246},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4984116554260254},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.49481648206710815},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4823145866394043},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4775869846343994},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4474567472934723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3892980217933655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3444843888282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8315644860267639},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7703484296798706},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.635273277759552},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.6288019418716431},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6180649995803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5800054669380188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5028740763664246},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4984116554260254},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.49481648206710815},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4823145866394043},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4775869846343994},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4474567472934723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3892980217933655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3444843888282776},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3475482","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2104094955","https://openalex.org/W2194775991","https://openalex.org/W2293363371","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2765440071","https://openalex.org/W2770363598","https://openalex.org/W2801477643","https://openalex.org/W2892946488","https://openalex.org/W2895281799","https://openalex.org/W2932414082","https://openalex.org/W2950111065","https://openalex.org/W2955547856","https://openalex.org/W2962687275","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963481481","https://openalex.org/W2964288524","https://openalex.org/W2965597639","https://openalex.org/W2969893028","https://openalex.org/W2981429991","https://openalex.org/W2981512393","https://openalex.org/W2981624307","https://openalex.org/W2981952612","https://openalex.org/W2982120826","https://openalex.org/W2985406498","https://openalex.org/W2986831462","https://openalex.org/W3000172657","https://openalex.org/W3009328718","https://openalex.org/W3018638193","https://openalex.org/W3034218934","https://openalex.org/W3034417116","https://openalex.org/W3034562924","https://openalex.org/W3035294798","https://openalex.org/W3099097979","https://openalex.org/W3102977943","https://openalex.org/W3103651098","https://openalex.org/W3119635706","https://openalex.org/W3131415659","https://openalex.org/W3134134173"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2001391081","https://openalex.org/W10944326"],"abstract_inverted_index":{"Domain":[0],"adaptive":[1,66],"semantic":[2,67],"segmentation":[3,68,122],"is":[4,53,77,97,229],"recognized":[5],"as":[6,30],"a":[7,225],"promising":[8],"technique":[9],"to":[10,56,86,109,128,179,199],"alleviate":[11],"the":[12,16,21,50,75,80,87,101,112,116,121,125,130,156,174,181,202,215,222],"domain":[13,19,24,38,65,89,103],"shift":[14],"between":[15],"labeled":[17],"source":[18,37,51,70,81,92,102],"and":[20,46,48,83,124,148,194,214],"unlabeled":[22],"target":[23,88],"in":[25,44,164],"many":[26,105],"real-world":[27],"applications,":[28],"such":[29],"automatic":[31],"pilot.":[32],"However,":[33],"large":[34,226],"amounts":[35],"of":[36,217],"data":[39,52,93],"often":[40],"introduce":[41],"significant":[42],"costs":[43],"storage":[45],"training,":[47],"sometimes":[49],"inaccessible":[54],"due":[55],"privacy":[57],"policies.":[58],"To":[59],"address":[60],"these":[61],"problems,":[62],"we":[63,134,154,170],"investigate":[64,171],"without":[69,90],"data,":[71,104],"which":[72,172,220],"assumes":[73],"that":[74],"model":[76],"pre-trained":[78],"on":[79,206],"domain,":[82],"then":[84],"adapting":[85],"accessing":[91],"anymore.":[94],"Since":[95],"there":[96],"no":[98],"supervision":[99],"from":[100],"self-training":[106],"methods":[107,198],"tend":[108],"fall":[110],"into":[111],"winner-takes-all":[113],"dilemma,":[114],"where":[115],"majority":[117],"classes":[118],"totally":[119],"dominate":[120],"networks":[123,126],"fail":[127],"classify":[129],"minority":[131],"classes.":[132],"Consequently,":[133],"propose":[135],"an":[136],"effective":[137],"framework":[138,189],"for":[139,167],"this":[140],"challenging":[141],"problem":[142],"with":[143,160,180,196,224],"two":[144,207],"components:":[145],"positive":[146,152],"learning":[147],"negative":[149,165],"learning.":[150],"In":[151],"learning,":[153,166],"select":[155],"class-balanced":[157],"pseudo-labeled":[158],"pixels":[159],"intra-class":[161],"threshold,":[162],"while":[163],"each":[168],"pixel,":[169],"category":[173],"pixel":[175],"does":[176],"not":[177],"belong":[178],"proposed":[182],"heuristic":[183],"complementary":[184],"label":[185],"selection.":[186],"Notably,":[187],"our":[188,212,218],"can":[190],"be":[191],"easily":[192],"implemented":[193],"incorporated":[195],"other":[197],"further":[200],"enhance":[201],"performance.":[203],"Extensive":[204],"experiments":[205],"widely-used":[208],"synthetic-to-real":[209],"benchmarks":[210],"demonstrate":[211],"claims":[213],"effectiveness":[216],"framework,":[219],"outperforms":[221],"baseline":[223],"margin.":[227],"Code":[228],"available":[230],"at":[231],"https://github.com/fumyou13/LDBE.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}