{"id":"https://openalex.org/W4205156906","doi":"https://doi.org/10.1109/ivworkshops54471.2021.9669255","title":"Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation","display_name":"Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W4205156906","doi":"https://doi.org/10.1109/ivworkshops54471.2021.9669255"},"language":"en","primary_location":{"id":"doi:10.1109/ivworkshops54471.2021.9669255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivworkshops54471.2021.9669255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)","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/A5051883345","display_name":"Joshua Niemeijer","orcid":"https://orcid.org/0000-0002-2417-8749"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Joshua Niemeijer","raw_affiliation_strings":["German Aerosapce Center (DLR)"],"affiliations":[{"raw_affiliation_string":"German Aerosapce Center (DLR)","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077260444","display_name":"J\u00f6rg Sch\u00e4fer","orcid":"https://orcid.org/0000-0003-4797-0306"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorg P. Schafer","raw_affiliation_strings":["German Aerosapce Center (DLR)"],"affiliations":[{"raw_affiliation_string":"German Aerosapce Center (DLR)","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051883345"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":0.5599,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74453151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"33","issue":null,"first_page":"364","last_page":"371"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9929999709129333,"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":0.9900000095367432,"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":0.8008327484130859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6413668394088745},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6210340261459351},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5537197589874268},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.532141387462616},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5237331390380859},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5056056976318359},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47943323850631714},{"id":"https://openalex.org/keywords/logit","display_name":"Logit","score":0.4230785667896271},{"id":"https://openalex.org/keywords/business-domain","display_name":"Business domain","score":0.41773903369903564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33784520626068115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08079510927200317},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.07695791125297546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8008327484130859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6413668394088745},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6210340261459351},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5537197589874268},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.532141387462616},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5237331390380859},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5056056976318359},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47943323850631714},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.4230785667896271},{"id":"https://openalex.org/C193669473","wikidata":"https://www.wikidata.org/wiki/Q5001867","display_name":"Business domain","level":5,"score":0.41773903369903564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33784520626068115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08079510927200317},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.07695791125297546},{"id":"https://openalex.org/C94184115","wikidata":"https://www.wikidata.org/wiki/Q3643219","display_name":"Business architecture","level":4,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivworkshops54471.2021.9669255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivworkshops54471.2021.9669255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:143158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/IVWorkshops54471.2021.9669255>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2340897893","https://openalex.org/W2487365028","https://openalex.org/W2558580397","https://openalex.org/W2785325870","https://openalex.org/W2799352588","https://openalex.org/W2895281799","https://openalex.org/W2903158431","https://openalex.org/W2962808524","https://openalex.org/W2963073217","https://openalex.org/W2964309882","https://openalex.org/W2970140852","https://openalex.org/W2972285644","https://openalex.org/W2975758481","https://openalex.org/W3009033475","https://openalex.org/W3023371261","https://openalex.org/W3034562924","https://openalex.org/W3035294798","https://openalex.org/W3110446398","https://openalex.org/W3135781439","https://openalex.org/W3136027703","https://openalex.org/W3175294391","https://openalex.org/W6746282794","https://openalex.org/W6747899497","https://openalex.org/W6750749703","https://openalex.org/W6756615331","https://openalex.org/W6758354414","https://openalex.org/W6768455480","https://openalex.org/W6774187218","https://openalex.org/W6789308346","https://openalex.org/W6791426119","https://openalex.org/W6792196975"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W3165040664","https://openalex.org/W2350539780","https://openalex.org/W3123878450","https://openalex.org/W4252604630","https://openalex.org/W1530738925","https://openalex.org/W4205088574","https://openalex.org/W1587887330"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,15,24,53,78,149,162,182],"two-staged,":[4],"unsupervised":[5],"domain":[6,33,63,76,113,147,151,166,177,203],"adaptation":[7,34],"process":[8],"for":[9,32,132],"semantic":[10],"segmentation":[11],"models":[12],"by":[13],"combining":[14],"self-training":[16,39,135],"and":[17,56,161],"self-supervision":[18,48],"strategy.":[19],"Self-training":[20],"(i.":[21],"e.,":[22],"training":[23,120],"model":[25,51,128,187],"on":[26,41,52,60,73,98,110,144,194,213],"self-inferred":[27],"pseudo-labels)":[28],"yields":[29],"competitive":[30],"results":[31],"in":[35,93,136],"recent":[36],"research.":[37],"However,":[38],"depends":[40],"high-quality":[42],"pseudo-labels.":[43],"On":[44],"the":[45,50,61,70,74,90,94,99,106,111,123,126,133,137,156,171,175,179,186,195,199,214],"other":[46],"hand,":[47],"trains":[49],"surrogate":[54,80,103],"task":[55,104],"improves":[57,69],"its":[58],"performance":[59,72],"target":[62,75,112,196,216],"without":[64],"further":[65],"prerequisites.Therefore,":[66],"our":[67,142],"approach":[68],"model\u2019s":[71],"with":[77],"novel":[79],"task.":[81],"To":[82],"that,":[83],"we":[84,205],"continuously":[85],"determine":[86],"class":[87,116],"centroids":[88,117],"of":[89,185],"feature":[91,108],"representations":[92,109],"network\u2019s":[95],"pre-logit":[96,107],"layer":[97],"source":[100],"domain.":[101,197,217],"Our":[102],"clusters":[105],"regarding":[114],"these":[115],"during":[118],"both":[119],"stages.":[121],"After":[122],"first":[124],"stage,":[125],"resulting":[127],"delivers":[129],"improved":[130],"pseudo-labels":[131],"additional":[134],"second":[138],"stage.":[139],"We":[140],"evaluate":[141],"method":[143],"two":[145],"different":[146],"adaptions,":[148],"real-world":[150,165,176,202,215],"change":[152,167],"from":[153,168,188,209],"Cityscapes":[154,172],"to":[155,164,170,191,201,211],"Berkeley":[157],"Deep":[158],"Drive":[159],"dataset":[160],"synthetic":[163,200],"GTA5":[169],"dataset.":[173],"For":[174,198],"change,":[178,204],"evaluation":[180],"shows":[181],"significant":[183],"improvement":[184,208],"46%":[189],"mIoU":[190,193],"54%":[192],"achieve":[206],"an":[207],"38.8%":[210],"46.42%":[212]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}