{"id":"https://openalex.org/W2970110235","doi":"https://doi.org/10.1109/ivs.2019.8814168","title":"Sampling/Importance Resampling for Semantically Consistent Synthetic to Real Image Domain Adaptation in Urban Traffic Scenes","display_name":"Sampling/Importance Resampling for Semantically Consistent Synthetic to Real Image Domain Adaptation in Urban Traffic Scenes","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2970110235","doi":"https://doi.org/10.1109/ivs.2019.8814168","mag":"2970110235"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2019.8814168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8814168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","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/A5071554545","display_name":"Artem Savkin","orcid":"https://orcid.org/0000-0002-4767-7153"},"institutions":[{"id":"https://openalex.org/I1283382300","display_name":"BMW (Germany)","ror":"https://ror.org/05vs9tj88","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Artem Savkin","raw_affiliation_strings":["BMW AG, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMW AG, Munich, Germany","institution_ids":["https://openalex.org/I1283382300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030272916","display_name":"Monika Kasperek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Monika Kasperek","raw_affiliation_strings":["TU Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Munich, Munich, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041092666","display_name":"Federico Tombari","orcid":"https://orcid.org/0000-0001-5598-5212"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Federico Tombari","raw_affiliation_strings":["TU Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Munich, Munich, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1605 9582","issue":null,"first_page":"1061","last_page":"1068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9980999827384949,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9968000054359436,"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/resampling","display_name":"Resampling","score":0.8539604544639587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6779805421829224},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5489448308944702},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5380951762199402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5309652090072632},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5122131705284119},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4486992061138153},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4428470730781555},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4423941671848297},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35167086124420166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14409026503562927},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07370764017105103}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8539604544639587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779805421829224},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5489448308944702},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5380951762199402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5309652090072632},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5122131705284119},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4486992061138153},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4428470730781555},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4423941671848297},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35167086124420166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14409026503562927},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07370764017105103},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2019.8814168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8814168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W37728405","https://openalex.org/W199218251","https://openalex.org/W764651262","https://openalex.org/W1493730910","https://openalex.org/W1513100184","https://openalex.org/W1591870335","https://openalex.org/W1661149683","https://openalex.org/W1945811542","https://openalex.org/W1987716715","https://openalex.org/W2010625607","https://openalex.org/W2036242214","https://openalex.org/W2037227137","https://openalex.org/W2040424843","https://openalex.org/W2058535340","https://openalex.org/W2059319345","https://openalex.org/W2067107771","https://openalex.org/W2083544878","https://openalex.org/W2099471712","https://openalex.org/W2111187045","https://openalex.org/W2119112357","https://openalex.org/W2145973785","https://openalex.org/W2147253850","https://openalex.org/W2148143831","https://openalex.org/W2150066425","https://openalex.org/W2153062878","https://openalex.org/W2163605009","https://openalex.org/W2164330572","https://openalex.org/W2165741220","https://openalex.org/W2203820691","https://openalex.org/W2283234189","https://openalex.org/W2329132828","https://openalex.org/W2332774781","https://openalex.org/W2340897893","https://openalex.org/W2397830550","https://openalex.org/W2414825695","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2492904644","https://openalex.org/W2516063657","https://openalex.org/W2562192638","https://openalex.org/W2562319768","https://openalex.org/W2564503763","https://openalex.org/W2616198738","https://openalex.org/W2630837129","https://openalex.org/W2768274597","https://openalex.org/W2781604162","https://openalex.org/W2876993306","https://openalex.org/W2883068149","https://openalex.org/W2962759496","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2962850830","https://openalex.org/W2962867954","https://openalex.org/W2962947361","https://openalex.org/W2963393306","https://openalex.org/W2963422987","https://openalex.org/W2963444790","https://openalex.org/W2963709863","https://openalex.org/W2963784072","https://openalex.org/W2964341837","https://openalex.org/W3003662786","https://openalex.org/W3100388886","https://openalex.org/W4244473079","https://openalex.org/W4285719527","https://openalex.org/W4293398859","https://openalex.org/W4295719664","https://openalex.org/W4320013936","https://openalex.org/W6608163104","https://openalex.org/W6684191040","https://openalex.org/W6695560550","https://openalex.org/W6702473411","https://openalex.org/W6712616374","https://openalex.org/W6715885907","https://openalex.org/W6720691552","https://openalex.org/W6730095352","https://openalex.org/W6730623217","https://openalex.org/W6731344955","https://openalex.org/W6734074887","https://openalex.org/W6739696289","https://openalex.org/W6745935785","https://openalex.org/W6746282794","https://openalex.org/W6747654920","https://openalex.org/W6753207496","https://openalex.org/W6764350350","https://openalex.org/W6785226069","https://openalex.org/W7036195979"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W2155206396","https://openalex.org/W4300172004","https://openalex.org/W2955455867","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Synthetic":[0],"data":[1,20],"find":[2],"application":[3],"in":[4,52,94,106],"computer":[5],"vision":[6],"tasks":[7],"for":[8,89],"a":[9],"long":[10],"time.":[11],"Limited":[12],"performance":[13],"of":[14,80,83,97],"algorithms":[15],"trained":[16],"solely":[17],"on":[18,33],"synthetic":[19,111],"has":[21],"been":[22],"approached":[23],"with":[24,69,108],"domain":[25,63,114],"adaptation":[26,115],"techniques":[27],"such":[28],"as":[29],"the":[30,90,95],"ones":[31],"based":[32],"generative":[34],"adversarial":[35,45,70],"framework":[36],"[1].":[37],"In":[38],"this":[39],"work":[40],"we":[41],"demonstrate":[42],"how":[43],"using":[44,64],"training":[46],"alone":[47],"can":[48],"introduce":[49],"semantic":[50,59,91],"inconsistencies":[51],"refined":[53],"images.":[54],"We":[55,72],"suggest":[56],"leveraging":[57],"available":[58],"labels":[60],"from":[61],"target":[62],"naive":[65],"re-sampling":[66],"approach":[67],"alongside":[68],"loss.":[71],"also":[73,104],"show":[74],"that":[75],"aforementioned":[76],"strategy":[77],"improves":[78],"quality":[79],"translated":[81],"images":[82],"underlying":[84],"method":[85,101],"and":[86],"their":[87],"usability":[88],"segmentation":[92],"task":[93],"context":[96],"autonomous":[98],"driving.":[99],"This":[100],"will":[102],"be":[103],"put":[105],"comparison":[107],"existing":[109],"state-of-the-art":[110],"to":[112],"real":[113],"methods.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
