{"id":"https://openalex.org/W3183166151","doi":"https://doi.org/10.1145/3474085.3475186","title":"DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation","display_name":"DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3183166151","doi":"https://doi.org/10.1145/3474085.3475186","mag":"3183166151"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475186","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475186","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":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2107.09600","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072984216","display_name":"Li Gao","orcid":"https://orcid.org/0000-0002-5918-3505"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Gao","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345321","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0001-6595-7661"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024278302","display_name":"Lefei Zhang","orcid":"https://orcid.org/0000-0003-0542-2280"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lefei Zhang","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["JD Explore Academy, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD Explore Academy, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2825","last_page":"2833"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9919000267982483,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9908999800682068,"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":0.793321967124939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6707066297531128},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6540786623954773},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.5770799517631531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5622459650039673},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.47619616985321045},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4565744698047638},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4432706832885742},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4101124405860901},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36399322748184204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10890987515449524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.793321967124939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6707066297531128},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6540786623954773},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.5770799517631531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5622459650039673},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.47619616985321045},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4565744698047638},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4432706832885742},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4101124405860901},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36399322748184204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10890987515449524},{"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":2,"locations":[{"id":"doi:10.1145/3474085.3475186","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475186","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"},{"id":"pmh:oai:arXiv.org:2107.09600","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.09600","pdf_url":"https://arxiv.org/pdf/2107.09600","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2107.09600","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.09600","pdf_url":"https://arxiv.org/pdf/2107.09600","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1710476689","https://openalex.org/W1861492603","https://openalex.org/W2108598243","https://openalex.org/W2159291411","https://openalex.org/W2194775991","https://openalex.org/W2241862190","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2562192638","https://openalex.org/W2592691248","https://openalex.org/W2744438518","https://openalex.org/W2765407302","https://openalex.org/W2791492630","https://openalex.org/W2895281799","https://openalex.org/W2905535599","https://openalex.org/W2932012013","https://openalex.org/W2944223741","https://openalex.org/W2950111065","https://openalex.org/W2951670162","https://openalex.org/W2952787450","https://openalex.org/W2953070460","https://openalex.org/W2953139137","https://openalex.org/W2962808524","https://openalex.org/W2963271314","https://openalex.org/W2963458902","https://openalex.org/W2970092410","https://openalex.org/W2971476302","https://openalex.org/W2982410491","https://openalex.org/W2987385519","https://openalex.org/W2992308087","https://openalex.org/W3007399023","https://openalex.org/W3009923541","https://openalex.org/W3017324723","https://openalex.org/W3026575546","https://openalex.org/W3034562924","https://openalex.org/W3034631418","https://openalex.org/W3034679848","https://openalex.org/W3035222584","https://openalex.org/W3035236545","https://openalex.org/W3035256099","https://openalex.org/W3037204200","https://openalex.org/W3045995336","https://openalex.org/W3082576756","https://openalex.org/W3101468328","https://openalex.org/W3103520796","https://openalex.org/W3107590933","https://openalex.org/W3108566666","https://openalex.org/W3109340983","https://openalex.org/W3109470472","https://openalex.org/W3110486195","https://openalex.org/W3114107561","https://openalex.org/W3119635706","https://openalex.org/W3120804725","https://openalex.org/W3134134173","https://openalex.org/W3134297275","https://openalex.org/W3173206925","https://openalex.org/W3175217175","https://openalex.org/W3175227919","https://openalex.org/W3175294391","https://openalex.org/W3176630026","https://openalex.org/W3180003570","https://openalex.org/W4298289240","https://openalex.org/W4307793802"],"related_works":["https://openalex.org/W2390348052","https://openalex.org/W2065566231","https://openalex.org/W2390600871","https://openalex.org/W2363399630","https://openalex.org/W2148867666","https://openalex.org/W2074772664","https://openalex.org/W2319687164","https://openalex.org/W2379188611","https://openalex.org/W2378332951","https://openalex.org/W3081644756"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,18,29,36,76,112],"adaptation":[2],"(UDA)":[3],"for":[4,111],"semantic":[5],"segmentation":[6,11],"aims":[7],"to":[8,19,27,42,199],"adapt":[9],"a":[10,59,74,79,101,155,181],"model":[12,190],"trained":[13],"on":[14,92,206],"the":[15,20,49,88,94,107,115,123,127,133,143,147,168,172,189,195,211],"labeled":[16],"source":[17,75,95,117,173],"unlabeled":[21],"target":[22,97,119,129,148,175],"domain.":[23],"Existing":[24],"methods":[25],"try":[26],"learn":[28],"invariant":[30],"features":[31,193],"while":[32,126],"suffering":[33],"from":[34,73,151,177,194],"large":[35],"gaps":[37],"that":[38],"make":[39],"it":[40],"difficult":[41],"correctly":[43],"align":[44],"discrepant":[45],"features,":[46],"especially":[47],"in":[48,65],"initial":[50],"training":[51,98],"phase.":[52],"To":[53],"address":[54],"this":[55,66],"issue,":[56],"we":[57,105],"propose":[58],"novel":[60],"Dual":[61],"Soft-Paste":[62],"(DSP)":[63],"method":[64],"paper.":[67],"Specifically,":[68],"DSP":[69,187,214],"selects":[70],"some":[71],"classes":[72],"image":[77,90,130,150],"using":[78,154,180],"long-tail":[80],"class":[81],"first":[82],"sampling":[83],"strategy":[84],"and":[85,96,118,174,202],"softly":[86],"pastes":[87],"corresponding":[89],"patch":[91],"both":[93,152],"images":[99,120,176],"with":[100],"fusion":[102],"weight.":[103],"Technically,":[104],"adopt":[106],"mean":[108,184],"teacher":[109,134],"framework":[110],"adaptation,":[113],"where":[114],"pasted":[116],"go":[121],"through":[122,132],"student":[124,178],"network":[125,179],"original":[128],"goes":[131],"network.":[135],"Output-level":[136],"alignment":[137,162],"is":[138,163,219],"carried":[139,164],"out":[140,165],"by":[141,166],"aligning":[142,167],"probability":[144],"maps":[145,170],"of":[146,171,213],"fused":[149],"networks":[153],"weighted":[156,182],"cross-entropy":[157],"loss.":[158,186],"In":[159],"addition,":[160],"feature-level":[161],"feature":[169],"maximum":[183],"discrepancy":[185],"facilitates":[188],"learning":[191],"domain-invariant":[192],"intermediate":[196],"domains,":[197],"leading":[198],"faster":[200],"convergence":[201],"better":[203],"performance.":[204],"Experiments":[205],"two":[207],"challenging":[208],"benchmarks":[209],"demonstrate":[210],"superiority":[212],"over":[215],"state-of-the-art":[216],"methods.":[217],"Code":[218],"available":[220],"at":[221],"https://github.com/GaoLii/DSP.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2021-08-02T00:00:00"}