{"id":"https://openalex.org/W4309345623","doi":"https://doi.org/10.1109/smc53654.2022.9945583","title":"Accuracy Improvement of Semantic Segmentation Trained with Data Generated from a 3D Model by Histogram Matching Using Suitable References","display_name":"Accuracy Improvement of Semantic Segmentation Trained with Data Generated from a 3D Model by Histogram Matching Using Suitable References","publication_year":2022,"publication_date":"2022-10-09","ids":{"openalex":"https://openalex.org/W4309345623","doi":"https://doi.org/10.1109/smc53654.2022.9945583"},"language":"en","primary_location":{"id":"doi:10.1109/smc53654.2022.9945583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945583","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5012782866","display_name":"Miho Adachi","orcid":"https://orcid.org/0009-0000-3802-4866"},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miho Adachi","raw_affiliation_strings":["Meiji University,Graduate School of Science and Technology,Department of Computer Science,Kawasaki,Japan","Department of Computer Science, Graduate School of Science and Technology, Meiji University, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meiji University,Graduate School of Science and Technology,Department of Computer Science,Kawasaki,Japan","institution_ids":["https://openalex.org/I16656306"]},{"raw_affiliation_string":"Department of Computer Science, Graduate School of Science and Technology, Meiji University, Kawasaki, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056125864","display_name":"Hayato Komatsuzaki","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hayato Komatsuzaki","raw_affiliation_strings":["Meiji University,Graduate School of Science and Technology,Department of Computer Science,Kawasaki,Japan","Department of Computer Science, Graduate School of Science and Technology, Meiji University, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meiji University,Graduate School of Science and Technology,Department of Computer Science,Kawasaki,Japan","institution_ids":["https://openalex.org/I16656306"]},{"raw_affiliation_string":"Department of Computer Science, Graduate School of Science and Technology, Meiji University, Kawasaki, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050918343","display_name":"Marin Wada","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Marin Wada","raw_affiliation_strings":["Meiji University,School of Science and Technology,Department of Computer Science,Kawasaki,Japan","Department of Computer Science, School of Science and Technology, Meiji University, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meiji University,School of Science and Technology,Department of Computer Science,Kawasaki,Japan","institution_ids":["https://openalex.org/I16656306"]},{"raw_affiliation_string":"Department of Computer Science, School of Science and Technology, Meiji University, Kawasaki, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035420223","display_name":"Ryusuke Miyamoto","orcid":"https://orcid.org/0000-0001-9450-4493"},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryusuke Miyamoto","raw_affiliation_strings":["Meiji University,School of Science and Technology,Department of Computer Science,Kawasaki,Japan","Department of Computer Science, School of Science and Technology, Meiji University, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meiji University,School of Science and Technology,Department of Computer Science,Kawasaki,Japan","institution_ids":["https://openalex.org/I16656306"]},{"raw_affiliation_string":"Department of Computer Science, School of Science and Technology, Meiji University, Kawasaki, Japan","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16656306"],"apc_list":null,"apc_paid":null,"fwci":0.4623,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72570799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11207","issue":null,"first_page":"1180","last_page":"1185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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":0.8212239742279053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7687715291976929},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.699387788772583},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6344829201698303},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5507888197898865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5025269985198975},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4842762351036072},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48415523767471313},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43584221601486206},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.41836363077163696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20924964547157288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8212239742279053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7687715291976929},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.699387788772583},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6344829201698303},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5507888197898865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5025269985198975},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4842762351036072},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48415523767471313},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43584221601486206},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.41836363077163696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20924964547157288}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53654.2022.9945583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945583","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":21,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2560023338","https://openalex.org/W2573652160","https://openalex.org/W2962689474","https://openalex.org/W2964217532","https://openalex.org/W2964309882","https://openalex.org/W2971453269","https://openalex.org/W2985764327","https://openalex.org/W2990366806","https://openalex.org/W2997669187","https://openalex.org/W3002971773","https://openalex.org/W3004270037","https://openalex.org/W3016452182","https://openalex.org/W3035512475","https://openalex.org/W3114460273","https://openalex.org/W3116392793","https://openalex.org/W3159466846","https://openalex.org/W6639102338","https://openalex.org/W6730342312","https://openalex.org/W6737324727","https://openalex.org/W6858972160"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W1504109132","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W2244018504","https://openalex.org/W4298074124","https://openalex.org/W2003548600","https://openalex.org/W1523707610","https://openalex.org/W3214306048"],"abstract_inverted_index":{"Visual":[0],"navigation":[1],"based":[2],"on":[3,63],"the":[4,35,47,56,66,82,89,103,109,122],"results":[5,142,153],"of":[6,20,85,102,127,134],"semantic":[7,21,86],"segmentation":[8,22,87],"requires":[9],"high":[10],"classification":[11,68,83],"accuracy.":[12],"Previous":[13],"research":[14],"has":[15],"proven":[16],"that":[17,144],"a":[18,25,29,42,60,64,75,95,132],"classifier":[19],"trained":[23,146],"upon":[24,147],"dataset":[26,149],"generated":[27,40,93],"from":[28,41,94],"3D":[30,43,96],"model":[31],"performs":[32],"well":[33],"when":[34,46,88],"input":[36,48],"images":[37,49,53,129],"are":[38,50,106],"also":[39],"model.":[44],"However,":[45],"real":[51,128],"2D":[52],"captured":[54,130],"at":[55],"same":[57],"location":[58],"by":[59,112,117],"camera":[61],"mounted":[62],"robot,":[65],"average":[67],"accuracy":[69,84],"deteriorates.":[70],"To":[71,120],"overcome":[72],"this":[73],"issue,":[74],"novel":[76],"scheme":[77,105],"is":[78,92],"proposed":[79,104,123],"to":[80],"improve":[81],"training":[90],"data":[91,111],"point":[97],"cloud.":[98],"The":[99],"key":[100],"features":[101],"filling":[107],"in":[108],"missing":[110],"inpainting":[113],"and":[114,137],"domain":[115],"adaptation":[116],"histogram":[118],"matching.":[119],"evaluate":[121],"scheme,":[124],"datasets":[125],"composed":[126],"during":[131],"variety":[133],"seasons,":[135],"weathers,":[136],"times":[138],"were":[139],"created.":[140],"Experimental":[141],"showed":[143],"ICNet":[145],"our":[148],"could":[150],"provide":[151],"accurate":[152],"for":[154],"visual":[155],"navigation.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
