{"id":"https://openalex.org/W3112929611","doi":"https://doi.org/10.1109/access.2020.3043256","title":"Fast Synthetic Dataset for Kitchen Object Segmentation in Deep Learning","display_name":"Fast Synthetic Dataset for Kitchen Object Segmentation in Deep Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3112929611","doi":"https://doi.org/10.1109/access.2020.3043256","mag":"3112929611"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3043256","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043256","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09286440.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09286440.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047571439","display_name":"Ruben Sagues-Tanco","orcid":"https://orcid.org/0000-0001-9480-7275"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ruben Sagues-Tanco","raw_affiliation_strings":["Departamento de Inform\u00e1tica e Ingenier\u00eda de Sistemas, Universidad de Zaragoza, Zaragoza, Spain","Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, Universidad de Zaragoza, Zaragoza, Spain"],"raw_orcid":"https://orcid.org/0000-0001-9480-7275","affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica e Ingenier\u00eda de Sistemas, Universidad de Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]},{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, Universidad de Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009943157","display_name":"Luis Benages-Pardo","orcid":"https://orcid.org/0000-0003-3053-4997"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis Benages-Pardo","raw_affiliation_strings":["Departamento de Inform\u00e1tica e Ingenier\u00eda de Sistemas, Universidad de Zaragoza, Zaragoza, Spain","Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, Universidad de Zaragoza, Zaragoza, Spain"],"raw_orcid":"https://orcid.org/0000-0003-3053-4997","affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica e Ingenier\u00eda de Sistemas, Universidad de Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]},{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, Universidad de Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077412220","display_name":"Gonzalo L\u00f3pez\u2010Nicol\u00e1s","orcid":"https://orcid.org/0000-0001-9347-5969"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gonzalo Lopez-Nicolas","raw_affiliation_strings":["Departamento de Inform\u00e1tica e Ingenier\u00eda de Sistemas, Universidad de Zaragoza, Zaragoza, Spain","Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, Universidad de Zaragoza, Zaragoza, Spain"],"raw_orcid":"https://orcid.org/0000-0001-9347-5969","affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica e Ingenier\u00eda de Sistemas, Universidad de Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]},{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, Universidad de Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031968717","display_name":"Sergio Llorente","orcid":"https://orcid.org/0000-0003-4609-1254"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergio Llorente","raw_affiliation_strings":["Research and Development Department, Induction Technology, Product Division Cookers, BSH Home Appliances Group, Zaragoza, Spain"],"raw_orcid":"https://orcid.org/0000-0003-4609-1254","affiliations":[{"raw_affiliation_string":"Research and Development Department, Induction Technology, Product Division Cookers, BSH Home Appliances Group, Zaragoza, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0542,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.80029008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"220496","last_page":"220506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9914000034332275,"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":0.8743683099746704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.801733672618866},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6762663125991821},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6130723357200623},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5750234127044678},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5661794543266296},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5657312870025635},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5104300379753113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5060126185417175},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46960222721099854},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4463551938533783},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4363865256309509},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42287397384643555},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42098894715309143},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3713356554508209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8743683099746704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.801733672618866},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6762663125991821},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6130723357200623},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5750234127044678},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5661794543266296},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5657312870025635},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5104300379753113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5060126185417175},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46960222721099854},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4463551938533783},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4363865256309509},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42287397384643555},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42098894715309143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3713356554508209},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3043256","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043256","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09286440.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:zaguan.unizar.es:99257","is_oa":true,"landing_page_url":"http://zaguan.unizar.es/record/99257","pdf_url":"http://zaguan.unizar.es/record/99257","source":{"id":"https://openalex.org/S4306401812","display_name":"Zaguan (University of Zaragoza Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I255234318","host_organization_name":"Universidad de Zaragoza","host_organization_lineage":["https://openalex.org/I255234318"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:4f781f4668c641768967cefbb5777dbf","is_oa":true,"landing_page_url":"https://doaj.org/article/4f781f4668c641768967cefbb5777dbf","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":"IEEE Access, Vol 8, Pp 220496-220506 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3043256","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043256","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09286440.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2752471518","display_name":null,"funder_award_id":"RTC-2017-5965-6","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G5317956557","display_name":null,"funder_award_id":"2020.","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320315062","display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","ror":null},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3112929611.pdf","grobid_xml":"https://content.openalex.org/works/W3112929611.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W826954055","https://openalex.org/W1581020457","https://openalex.org/W1591870335","https://openalex.org/W1686810756","https://openalex.org/W1713526874","https://openalex.org/W1783315696","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1984020445","https://openalex.org/W2005756025","https://openalex.org/W2015983227","https://openalex.org/W2031489346","https://openalex.org/W2058761328","https://openalex.org/W2083544878","https://openalex.org/W2153062878","https://openalex.org/W2163605009","https://openalex.org/W2165741220","https://openalex.org/W2168356304","https://openalex.org/W2315410813","https://openalex.org/W2343052201","https://openalex.org/W2397830550","https://openalex.org/W2520016695","https://openalex.org/W2565639579","https://openalex.org/W2566871317","https://openalex.org/W2593957897","https://openalex.org/W2604262106","https://openalex.org/W2613718673","https://openalex.org/W2796136333","https://openalex.org/W2799093543","https://openalex.org/W2806178426","https://openalex.org/W2898424076","https://openalex.org/W2912420051","https://openalex.org/W2962835968","https://openalex.org/W2963150697","https://openalex.org/W2963231598","https://openalex.org/W2963271314","https://openalex.org/W2963542991","https://openalex.org/W2964242760","https://openalex.org/W2980189057","https://openalex.org/W2981630388","https://openalex.org/W3101577715","https://openalex.org/W4285719527","https://openalex.org/W6620707391","https://openalex.org/W6623148035","https://openalex.org/W6629368666","https://openalex.org/W6637373629","https://openalex.org/W6637438157","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6712616374","https://openalex.org/W6749916090","https://openalex.org/W6967010625"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Object":[0],"recognition":[1],"has":[2],"been":[3],"widely":[4,171],"investigated":[5],"in":[6,41,122],"computer":[7],"vision":[8],"for":[9,37],"many":[10],"years.":[11],"Currently,":[12],"this":[13,45],"process":[14,40],"is":[15,70],"carried":[16],"out":[17],"through":[18,183],"neural":[19,59],"networks,":[20],"but":[21],"there":[22],"are":[23],"very":[24,72],"few":[25],"public":[26],"datasets":[27,56],"available":[28],"with":[29,67,93,104,168],"mask":[30],"and":[31,74,125,139,159,174,190],"class":[32],"labels":[33],"of":[34,51,54,107,127,142],"the":[35,38,49,108,112,120,123,128,148,162,166,169,177,193],"objects":[36,109,144],"training":[39],"usual":[42],"applications.":[43],"In":[44,147],"paper,":[46],"we":[47,131,151,160],"address":[48],"problem":[50],"fast":[52],"generation":[53],"synthetic":[55,85,98,154,179],"to":[57,82,137],"train":[58],"models":[60],"because":[61],"creating":[62],"a":[63,71,84],"handcraft":[64],"labeled":[65,86],"dataset":[66,87],"object":[68],"segmentation":[69],"tedious":[73],"time-consuming":[75],"task.":[76],"We":[77,164],"propose":[78],"an":[79],"efficient":[80],"method":[81,113],"generate":[83],"that":[88,176],"adequately":[89],"combines":[90],"background":[91],"images":[92,99,117],"foreground":[94],"segmented":[95],"objects.":[96,129,195],"The":[97],"can":[100,114,186],"be":[101],"created":[102,182],"automatically":[103],"random":[105],"positioning":[106],"or,":[110],"alternatively,":[111],"produce":[115],"realistic":[116,178],"by":[118],"keeping":[119],"realism":[121],"scales":[124],"positions":[126],"Then,":[130],"employ":[132],"Mask-RCNN":[133],"deep":[134],"learning":[135],"model,":[136],"detect":[138],"segment":[140],"classes":[141],"kitchen":[143],"using":[145],"images.":[146],"experimental":[149],"evaluation,":[150],"study":[152],"both":[153],"datasets,":[155],"automatic":[156],"or":[157],"realistic,":[158],"compare":[161],"results.":[163],"analyze":[165],"performance":[167],"most":[170],"used":[172],"indexes":[173],"check":[175],"dataset,":[180],"quickly":[181],"our":[184],"method,":[185],"provide":[187],"competitive":[188],"results":[189],"accurately":[191],"classify":[192],"different":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
