{"id":"https://openalex.org/W3119762560","doi":"https://doi.org/10.1109/icarcv50220.2020.9305452","title":"Instance Segmentation with Unsupervised Adaptation to Different Domains for Autonomous Vehicles","display_name":"Instance Segmentation with Unsupervised Adaptation to Different Domains for Autonomous Vehicles","publication_year":2020,"publication_date":"2020-12-13","ids":{"openalex":"https://openalex.org/W3119762560","doi":"https://doi.org/10.1109/icarcv50220.2020.9305452","mag":"3119762560"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv50220.2020.9305452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv50220.2020.9305452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},"type":"preprint","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/A5058505229","display_name":"Manuel Diaz-Zapata","orcid":"https://orcid.org/0000-0002-9275-2829"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Manuel Diaz-Zapata","raw_affiliation_strings":["Univ. Grenoble Alpes, INRIA, Chroma Team, France"],"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, INRIA, Chroma Team, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003475208","display_name":"\u00d6zg\u00fcr Erkent","orcid":"https://orcid.org/0000-0002-2436-3186"},"institutions":[{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ozgur Erkent","raw_affiliation_strings":["Univ. Grenoble Alpes, INRIA, Chroma Team, France"],"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, INRIA, Chroma Team, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I899635006"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109557660","display_name":"Christian Laugier","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christian Laugier","raw_affiliation_strings":["INRIA, Rh\u00f4ne-Alpes, France","INRIA Rh\u00f4ne-Alpes, France#TAB#"],"affiliations":[{"raw_affiliation_string":"INRIA, Rh\u00f4ne-Alpes, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA Rh\u00f4ne-Alpes, France#TAB#","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058505229"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I899635006"],"apc_list":null,"apc_paid":null,"fwci":0.20993464,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.52129589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"421","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9916999936103821,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.847162127494812},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7697921991348267},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7487115263938904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7299672365188599},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6214720010757446},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5830967426300049},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.571048378944397},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5457661747932434},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5033003687858582},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48457539081573486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4697846472263336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44075438380241394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4261711537837982},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06733304262161255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.847162127494812},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7697921991348267},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7487115263938904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7299672365188599},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6214720010757446},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5830967426300049},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.571048378944397},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5457661747932434},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5033003687858582},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48457539081573486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4697846472263336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44075438380241394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4261711537837982},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06733304262161255},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv50220.2020.9305452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv50220.2020.9305452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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":49,"referenced_works":["https://openalex.org/W385466589","https://openalex.org/W1731081199","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2099471712","https://openalex.org/W2159291411","https://openalex.org/W2340897893","https://openalex.org/W2502312327","https://openalex.org/W2560023338","https://openalex.org/W2603777577","https://openalex.org/W2613718673","https://openalex.org/W2739759330","https://openalex.org/W2743627947","https://openalex.org/W2744404335","https://openalex.org/W2748021867","https://openalex.org/W2766228259","https://openalex.org/W2795889831","https://openalex.org/W2796347433","https://openalex.org/W2895777173","https://openalex.org/W2908141607","https://openalex.org/W2911246365","https://openalex.org/W2911831070","https://openalex.org/W2952735550","https://openalex.org/W2962808524","https://openalex.org/W2962879692","https://openalex.org/W2963052201","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963150697","https://openalex.org/W2963481481","https://openalex.org/W2963659353","https://openalex.org/W2963826694","https://openalex.org/W2963849369","https://openalex.org/W2972285644","https://openalex.org/W2978075633","https://openalex.org/W2990361805","https://openalex.org/W2991405684","https://openalex.org/W2993182889","https://openalex.org/W3009914867","https://openalex.org/W3035709993","https://openalex.org/W6620707391","https://openalex.org/W6637618735","https://openalex.org/W6639102338","https://openalex.org/W6683633756","https://openalex.org/W6724804524","https://openalex.org/W6735913928","https://openalex.org/W6742011000","https://openalex.org/W6746282794","https://openalex.org/W6766566651"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W2003050223","https://openalex.org/W2091777911","https://openalex.org/W2766405861","https://openalex.org/W2360975119","https://openalex.org/W2372487155","https://openalex.org/W2912421143","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Detection":[0],"of":[1,15,27,72,81,112,123,134,169],"the":[2,28,51,63,66,70,73,82,85,92,110,120,167,170],"objects":[3,29,83],"around":[4],"a":[5,10,22,41,137],"vehicle":[6],"is":[7],"important":[8],"for":[9,109],"safe":[11],"and":[12,24,43,49],"successful":[13],"navigation":[14],"an":[16,162],"autonomous":[17],"vehicle.":[18],"Instance":[19],"segmentation":[20,75,114],"provides":[21],"fine":[23],"accurate":[25,44],"classification":[26],"such":[30],"as":[31],"cars,":[32],"trucks,":[33],"pedestrians,":[34],"etc.":[35],"In":[36],"this":[37],"study,":[38],"we":[39,130,141],"propose":[40],"fast":[42],"approach":[45],"which":[46,54,104],"can":[47,55,156],"detect":[48],"segment":[50],"object":[52],"instances":[53],"be":[56],"adapted":[57],"to":[58,91,136,145,147,158],"new":[59,67,93,138,148,159],"conditions":[60,160],"without":[61],"requiring":[62],"labels":[64],"from":[65],"condition.":[68,94,172],"Furthermore,":[69],"performance":[71],"instance":[74,113],"does":[76],"not":[77,101],"degrade":[78],"in":[79,84],"detection":[80],"original":[86,171],"condition":[87],"after":[88],"it":[89,155],"adapts":[90],"To":[95],"our":[96,124],"knowledge,":[97],"currently":[98],"there":[99],"are":[100],"other":[102],"methods":[103],"perform":[105],"unsupervised":[106],"domain":[107],"adaptation":[108,121],"task":[111],"using":[115],"non-synthetic":[116],"datasets.":[117,128],"We":[118],"evaluate":[119],"capability":[122],"method":[125],"on":[126],"two":[127],"Firstly,":[129],"test":[131,142],"its":[132,143],"capacity":[133],"adapting":[135],"domain;":[139],"secondly,":[140],"ability":[144],"adapt":[146,157],"weather":[149],"conditions.":[150],"The":[151],"results":[152],"show":[153],"that":[154],"with":[161],"improved":[163],"accuracy":[164,168],"while":[165],"preserving":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
