{"id":"https://openalex.org/W4220729607","doi":"https://doi.org/10.3390/s22062080","title":"Image Synthesis Pipeline for CNN-Based Sensing Systems","display_name":"Image Synthesis Pipeline for CNN-Based Sensing Systems","publication_year":2022,"publication_date":"2022-03-08","ids":{"openalex":"https://openalex.org/W4220729607","doi":"https://doi.org/10.3390/s22062080","pmid":"https://pubmed.ncbi.nlm.nih.gov/35336251"},"language":"en","primary_location":{"id":"doi:10.3390/s22062080","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22062080","pdf_url":"https://www.mdpi.com/1424-8220/22/6/2080/pdf?version=1646733872","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/6/2080/pdf?version=1646733872","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028189188","display_name":"Vladimir Alexandrovich Frolov","orcid":"https://orcid.org/0000-0001-8829-9884"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]},{"id":"https://openalex.org/I86427540","display_name":"Keldysh Institute of Applied Mathematics","ror":"https://ror.org/01dv3hq14","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210124601","https://openalex.org/I86427540"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Frolov","raw_affiliation_strings":["Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119991 Moscow, Russia","Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119991 Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia","institution_ids":["https://openalex.org/I86427540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062491850","display_name":"Boris Faizov","orcid":"https://orcid.org/0000-0003-4961-3820"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Boris Faizov","raw_affiliation_strings":["Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119991 Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119991 Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069058935","display_name":"Vlad Shakhuro","orcid":"https://orcid.org/0000-0002-1586-9257"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]},{"id":"https://openalex.org/I4210141363","display_name":"Samsung (Russia)","ror":"https://ror.org/051an6p98","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210141363"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vlad Shakhuro","raw_affiliation_strings":["Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119991 Moscow, Russia","Samsung AI Research Center, 125196 Moscow, Russia"],"raw_orcid":"https://orcid.org/0000-0002-1586-9257","affiliations":[{"raw_affiliation_string":"Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119991 Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"Samsung AI Research Center, 125196 Moscow, Russia","institution_ids":["https://openalex.org/I4210141363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014419076","display_name":"\u0412\u0430\u0434\u0438\u043c \u0421\u0430\u043d\u0436\u0430\u0440\u043e\u0432","orcid":"https://orcid.org/0000-0001-6455-6444"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]},{"id":"https://openalex.org/I86427540","display_name":"Keldysh Institute of Applied Mathematics","ror":"https://ror.org/01dv3hq14","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210124601","https://openalex.org/I86427540"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vadim Sanzharov","raw_affiliation_strings":["Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119991 Moscow, Russia","Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia"],"raw_orcid":"https://orcid.org/0000-0001-6455-6444","affiliations":[{"raw_affiliation_string":"Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119991 Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia","institution_ids":["https://openalex.org/I86427540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065787419","display_name":"Anton Konushin","orcid":"https://orcid.org/0000-0002-6152-0021"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]},{"id":"https://openalex.org/I4210141363","display_name":"Samsung (Russia)","ror":"https://ror.org/051an6p98","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210141363"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anton Konushin","raw_affiliation_strings":["Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119991 Moscow, Russia","Samsung AI Research Center, 125196 Moscow, Russia"],"raw_orcid":"https://orcid.org/0000-0002-6152-0021","affiliations":[{"raw_affiliation_string":"Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119991 Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"Samsung AI Research Center, 125196 Moscow, Russia","institution_ids":["https://openalex.org/I4210141363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063992097","display_name":"\u0412. \u0410. \u0413\u0430\u043b\u0430\u043a\u0442\u0438\u043e\u043d\u043e\u0432","orcid":"https://orcid.org/0000-0001-6460-7539"},"institutions":[{"id":"https://openalex.org/I86427540","display_name":"Keldysh Institute of Applied Mathematics","ror":"https://ror.org/01dv3hq14","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210124601","https://openalex.org/I86427540"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Galaktionov","raw_affiliation_strings":["Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia"],"raw_orcid":"https://orcid.org/0000-0001-6460-7539","affiliations":[{"raw_affiliation_string":"Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia","institution_ids":["https://openalex.org/I86427540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058998038","display_name":"Alexey Gennadievich Voloboy","orcid":"https://orcid.org/0000-0003-1252-8294"},"institutions":[{"id":"https://openalex.org/I86427540","display_name":"Keldysh Institute of Applied Mathematics","ror":"https://ror.org/01dv3hq14","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210124601","https://openalex.org/I86427540"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Alexey Voloboy","raw_affiliation_strings":["Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia"],"raw_orcid":"https://orcid.org/0000-0003-1252-8294","affiliations":[{"raw_affiliation_string":"Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia","institution_ids":["https://openalex.org/I86427540"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5058998038"],"corresponding_institution_ids":["https://openalex.org/I86427540"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.3209,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81007809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"22","issue":"6","first_page":"2080","last_page":"2080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9983000159263611,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9983000159263611,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8318871259689331},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7339787483215332},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6479498147964478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6234776377677917},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5554710030555725},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5505986213684082},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47739166021347046},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4677082896232605},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4294361472129822},{"id":"https://openalex.org/keywords/graphics-pipeline","display_name":"Graphics pipeline","score":0.4250907897949219},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3850814998149872},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32475632429122925},{"id":"https://openalex.org/keywords/3d-computer-graphics","display_name":"3D computer graphics","score":0.1201455295085907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8318871259689331},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7339787483215332},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6479498147964478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6234776377677917},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5554710030555725},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5505986213684082},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47739166021347046},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4677082896232605},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4294361472129822},{"id":"https://openalex.org/C173552908","wikidata":"https://www.wikidata.org/wiki/Q1366289","display_name":"Graphics pipeline","level":4,"score":0.4250907897949219},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3850814998149872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32475632429122925},{"id":"https://openalex.org/C66629338","wikidata":"https://www.wikidata.org/wiki/Q189177","display_name":"3D computer graphics","level":3,"score":0.1201455295085907},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22062080","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22062080","pdf_url":"https://www.mdpi.com/1424-8220/22/6/2080/pdf?version=1646733872","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35336251","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35336251","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:16d14e97b3ee44419228e551c02ab6ed","is_oa":true,"landing_page_url":"https://doaj.org/article/16d14e97b3ee44419228e551c02ab6ed","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 6, p 2080 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/6/2080/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22062080","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 22; Issue 6; Pages: 2080","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8950732","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8950732","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22062080","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22062080","pdf_url":"https://www.mdpi.com/1424-8220/22/6/2080/pdf?version=1646733872","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220729607.pdf","grobid_xml":"https://content.openalex.org/works/W4220729607.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2031835363","https://openalex.org/W2115579991","https://openalex.org/W2119249247","https://openalex.org/W2315410813","https://openalex.org/W2432612364","https://openalex.org/W2557465155","https://openalex.org/W2563100679","https://openalex.org/W2576289912","https://openalex.org/W2615547864","https://openalex.org/W2743627947","https://openalex.org/W2780351918","https://openalex.org/W2888277922","https://openalex.org/W2910628332","https://openalex.org/W2938671123","https://openalex.org/W2948213750","https://openalex.org/W2950021214","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963201472","https://openalex.org/W2964137095","https://openalex.org/W2969121634","https://openalex.org/W2970399728","https://openalex.org/W2975103460","https://openalex.org/W2982695696","https://openalex.org/W3003601569","https://openalex.org/W3008659207","https://openalex.org/W3029602609","https://openalex.org/W3035624836","https://openalex.org/W3042314988","https://openalex.org/W3047290399","https://openalex.org/W3110015970","https://openalex.org/W3164455552","https://openalex.org/W3202731828","https://openalex.org/W3203887644","https://openalex.org/W4214608804","https://openalex.org/W4230683613"],"related_works":["https://openalex.org/W54172855","https://openalex.org/W2044956415","https://openalex.org/W3036499167","https://openalex.org/W4286644998","https://openalex.org/W3043139608","https://openalex.org/W4200090032","https://openalex.org/W2296384428","https://openalex.org/W2358482593","https://openalex.org/W2361232358","https://openalex.org/W2965289381"],"abstract_inverted_index":{"The":[0,54],"rapid":[1],"development":[2],"of":[3,15,32,41,50,56,79,143,175,186,190,206],"machine":[4],"learning":[5],"technologies":[6],"in":[7,27,94,135,152,183,199],"recent":[8],"years":[9],"has":[10],"led":[11],"to":[12,76,132,148,162,210],"the":[13,39,48,51,140,204],"emergence":[14],"CNN-based":[16,42,207],"sensors":[17,43,208],"or":[18,180],"ML-enabled":[19],"smart":[20],"sensor":[21],"systems,":[22],"which":[23,145],"are":[24],"intensively":[25],"used":[26],"medical":[28],"analytics,":[29],"unmanned":[30],"driving":[31],"cars,":[33],"Earth":[34],"sensing,":[35],"etc.":[36],"In":[37,68],"practice,":[38],"accuracy":[40,205],"is":[44,127,146],"highly":[45,168],"dependent":[46],"on":[47],"quality":[49],"training":[52,89],"datasets.":[53],"preparation":[55],"such":[57],"datasets":[58,90,134],"faces":[59],"two":[60],"fundamental":[61],"challenges:":[62],"data":[63,66,198],"quantity":[64],"and":[65,82,91,100,120,129,193],"quality.":[67],"this":[69],"paper,":[70],"we":[71,201],"propose":[72],"an":[73],"approach":[74],"aimed":[75],"solve":[77],"both":[78],"these":[80],"problems":[81],"investigate":[83],"its":[84],"efficiency.":[85],"Our":[86,125,171],"solution":[87,126],"improves":[88],"validates":[92],"it":[93],"several":[95],"different":[96],"applications:":[97],"object":[98,179],"classification":[99],"detection,":[101],"depth":[102],"buffer":[103],"reconstruction,":[104],"panoptic":[105],"segmentation.":[106],"We":[107,155],"present":[108],"a":[109,136,157,176,184],"pipeline":[110,160],"for":[111],"image":[112,165],"dataset":[113],"augmentation":[114],"by":[115],"synthesis":[116],"with":[117,139,167],"computer":[118,153],"graphics":[119],"generative":[121],"neural":[122],"networks":[123],"approaches.":[124],"well-controlled":[128],"allows":[130,173],"us":[131],"generate":[133],"reproducible":[137],"manner":[138],"desired":[141],"distribution":[142],"features":[144],"essential":[147],"conduct":[149],"specific":[150],"experiments":[151],"vision.":[154],"developed":[156],"content":[158],"creation":[159],"targeted":[161],"create":[163],"realistic":[164],"sequences":[166],"variable":[169],"content.":[170],"technique":[172],"rendering":[174],"single":[177],"3D":[178,181],"scene":[182],"variety":[185],"ways,":[187],"including":[188],"changing":[189],"geometry,":[191],"materials":[192],"lighting.":[194],"By":[195],"using":[196,211],"synthetic":[197],"training,":[200],"have":[202],"improved":[203],"compared":[209],"only":[212],"real-life":[213],"data.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
