{"id":"https://openalex.org/W3025869703","doi":"https://doi.org/10.1109/wacv45572.2020.9093540","title":"Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation","display_name":"Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3025869703","doi":"https://doi.org/10.1109/wacv45572.2020.9093540","mag":"3025869703"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093540","doi":"https://doi.org/10.1109/wacv45572.2020.9093540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093540","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.10563","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078065160","display_name":"Fabio Pizzati","orcid":"https://orcid.org/0000-0002-6249-5649","observed_orcids":["https://orcid.org/0000-0002-6249-5649"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabio Pizzati","raw_affiliation_strings":["VisLab","Robotics & Intelligent Transportation Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VisLab","institution_ids":[]},{"raw_affiliation_string":"Robotics & Intelligent Transportation Systems","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010261257","display_name":"Raoul de Charette","orcid":"https://orcid.org/0000-0003-3738-1962","observed_orcids":["https://orcid.org/0000-0003-3738-1962"]},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Raoul de Charette","raw_affiliation_strings":["Inria","Robotics & Intelligent Transportation Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Robotics & Intelligent Transportation Systems","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114888601","display_name":"Michela Zaccaria","orcid":"https://orcid.org/0000-0002-4492-0189","observed_orcids":["https://orcid.org/0000-0002-4492-0189"]},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michela Zaccaria","raw_affiliation_strings":["University of Parma","Universit\u00e0 degli studi di Parma = University of Parma"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Parma","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"Universit\u00e0 degli studi di Parma = University of Parma","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045673514","display_name":"Pietro Cerri","orcid":"https://orcid.org/0000-0001-6492-5422","observed_orcids":["https://orcid.org/0000-0001-6492-5422"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pietro Cerri","raw_affiliation_strings":["VisLab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VisLab","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1187,"has_fulltext":true,"cited_by_count":86,"citation_normalized_percentile":{"value":0.9655644,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"WACV","issue":null,"first_page":"2979","last_page":"2987"},"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":0.57669997215271,"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":0.57669997215271,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.42260000109672546,"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":9.999999747378752e-05,"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/image-to-image-translation","display_name":"image-to-image translation","score":0.8709999918937683},{"id":"https://openalex.org/keywords/unsupervised-domain-adaptation","display_name":"unsupervised domain adaptation","score":0.9649999737739563},{"id":"https://openalex.org/keywords/self-supervised-learning","display_name":"self-supervised learning","score":0.9779999852180481},{"id":"https://openalex.org/keywords/domain-gap-reduction","display_name":"domain gap reduction","score":0.734000027179718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767986059188843},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.7305750846862793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.632846474647522},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6151063442230225},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6075669527053833},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5820589065551758},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5673196315765381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5635395646095276},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4963241219520569},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.345960795879364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11970165371894836},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093540","doi":"https://doi.org/10.1109/wacv45572.2020.9093540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093540","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.10563","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.10563","pdf_url":"https://arxiv.org/pdf/1910.10563","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-02436218v1","doi":null,"is_oa":false,"landing_page_url":"https://hal.science/hal-02436218","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wacv20.wacv.net/","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1910.10563","doi":"https://doi.org/10.48550/arxiv.1910.10563","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.10563","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.10563","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.10563","pdf_url":"https://arxiv.org/pdf/1910.10563","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3025869703.pdf","grobid_xml":"https://content.openalex.org/works/W3025869703.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1986266272","https://openalex.org/W2013275563","https://openalex.org/W2037936395","https://openalex.org/W2058604335","https://openalex.org/W2340897893","https://openalex.org/W2432004435","https://openalex.org/W2552465644","https://openalex.org/W2559767995","https://openalex.org/W2562192638","https://openalex.org/W2592480533","https://openalex.org/W2620998106","https://openalex.org/W2739759330","https://openalex.org/W2748021867","https://openalex.org/W2767657961","https://openalex.org/W2768959015","https://openalex.org/W2782980316","https://openalex.org/W2788306606","https://openalex.org/W2795889831","https://openalex.org/W2893890202","https://openalex.org/W2895281799","https://openalex.org/W2896107389","https://openalex.org/W2903619461","https://openalex.org/W2907896140","https://openalex.org/W2907919191","https://openalex.org/W2936117388","https://openalex.org/W2936604471","https://openalex.org/W2940597502","https://openalex.org/W2943322963","https://openalex.org/W2953139137","https://openalex.org/W2954171777","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2963403405","https://openalex.org/W2963481481","https://openalex.org/W2963789515","https://openalex.org/W2963890275","https://openalex.org/W2963943912","https://openalex.org/W2965879595","https://openalex.org/W2969893028","https://openalex.org/W2970048031","https://openalex.org/W2970781471","https://openalex.org/W2971715920","https://openalex.org/W2989855043"],"related_works":["https://openalex.org/W3211811222","https://openalex.org/W3216792158","https://openalex.org/W3167319137","https://openalex.org/W3155045749","https://openalex.org/W2811348588","https://openalex.org/W4362669499","https://openalex.org/W3089487147","https://openalex.org/W2896702065","https://openalex.org/W7169812186","https://openalex.org/W4407390677"],"abstract_inverted_index":{"Image-to-image":[0],"translation":[1,73,100],"architectures":[2],"may":[3,17],"have":[4],"limited":[5],"effectiveness":[6],"in":[7,59],"some":[8],"circumstances.":[9],"For":[10],"example,":[11],"while":[12,138],"generating":[13],"rainy":[14],"scenarios,":[15],"they":[16],"fail":[18],"to":[19,46,52,71,79,83,107,121,145],"model":[20],"typical":[21],"traits":[22],"of":[23,55,66,134],"rain":[24,72],"as":[25],"water":[26],"drops,":[27],"and":[28,119],"this":[29],"ultimately":[30],"impacts":[31],"the":[32,48,53,60,76,124,132,135,146],"synthetic":[33],"images":[34],"realism.":[35],"With":[36,126],"our":[37,81,127],"method,":[38],"called":[39],"domain":[40,49,77],"bridge,":[41],"web-crawled":[42],"data":[43],"are":[44],"exploited":[45,103],"reduce":[47],"gap,":[50],"leading":[51],"inclusion":[54],"previously":[56],"ignored":[57],"elements":[58],"generated":[61,136],"images.":[62],"We":[63],"make":[64],"use":[65],"a":[67,111,150],"network":[68],"for":[69,114],"clear":[70],"trained":[74],"with":[75,143,149],"bridge":[78],"extend":[80],"work":[82],"Unsupervised":[84],"Domain":[85],"Adaptation":[86],"(UDA).":[87],"In":[88],"that":[89],"context,":[90],"we":[91,129],"introduce":[92],"an":[93],"online":[94],"multimodal":[95],"style-sampling":[96],"strategy,":[97],"where":[98],"image":[99],"multimodality":[101],"is":[102,117],"at":[104],"training":[105],"time":[106],"improve":[108],"performances.":[109],"Finally,":[110],"novel":[112],"approach":[113],"self-supervised":[115],"learning":[116],"presented,":[118],"used":[120],"further":[122],"align":[123],"domains.":[125],"contributions,":[128],"simultaneously":[130],"increase":[131],"realism":[133],"images,":[137],"reaching":[139],"on":[140],"par":[141],"performances":[142],"respect":[144],"UDA":[147],"state-of-the-art,":[148],"simpler":[151],"approach.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":7}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-05-21T00:00:00"}
