{"id":"https://openalex.org/W4386066085","doi":"https://doi.org/10.23919/mva57639.2023.10215910","title":"CG-based dataset generation and adversarial image conversion for deep cucumber recognition","display_name":"CG-based dataset generation and adversarial image conversion for deep cucumber recognition","publication_year":2023,"publication_date":"2023-07-23","ids":{"openalex":"https://openalex.org/W4386066085","doi":"https://doi.org/10.23919/mva57639.2023.10215910"},"language":"en","primary_location":{"id":"doi:10.23919/mva57639.2023.10215910","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/mva57639.2023.10215910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 18th International Conference on Machine Vision and Applications (MVA)","raw_type":"proceedings-article"},"type":"article","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/A5055946696","display_name":"Hiroaki Masuzawa","orcid":"https://orcid.org/0000-0002-4838-9516"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroaki Masuzawa","raw_affiliation_strings":["Toyohashi University of Technology"],"affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023146887","display_name":"Chuo Nakano","orcid":null},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chuo Nakano","raw_affiliation_strings":["Toyohashi University of Technology"],"affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071725508","display_name":"Jun Miura","orcid":"https://orcid.org/0000-0003-0153-2570"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Miura","raw_affiliation_strings":["Toyohashi University of Technology"],"affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology","institution_ids":["https://openalex.org/I136259955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055946696"],"corresponding_institution_ids":["https://openalex.org/I136259955"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04711597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8084652423858643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7089784145355225},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6845701336860657},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6358882188796997},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.5576700568199158},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5111663937568665},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.49510660767555237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48792240023612976},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4475114643573761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40524598956108093},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.12407684326171875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8084652423858643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7089784145355225},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6845701336860657},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6358882188796997},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5576700568199158},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5111663937568665},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.49510660767555237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48792240023612976},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4475114643573761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40524598956108093},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.12407684326171875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mva57639.2023.10215910","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/mva57639.2023.10215910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 18th International Conference on Machine Vision and Applications (MVA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2018563411","https://openalex.org/W2164626235","https://openalex.org/W2196989058","https://openalex.org/W2200229751","https://openalex.org/W2487365028","https://openalex.org/W2781137302","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2963073614","https://openalex.org/W2984249216","https://openalex.org/W3004299129","https://openalex.org/W4320013936","https://openalex.org/W6639824700","https://openalex.org/W6687540770","https://openalex.org/W6722836162","https://openalex.org/W6729966448","https://openalex.org/W6746282794"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"deep":[4,24],"cucumber":[5,49,86],"recognition":[6],"using":[7,74,84],"CG":[8,67],"(Computer":[9],"Graphics)-based":[10],"dataset":[11,20,43],"generation.":[12],"The":[13],"variety":[14],"and":[15,55,68],"the":[16,19],"size":[17],"of":[18],"are":[21,28],"crucial":[22],"in":[23],"learning.":[25],"Although":[26],"there":[27],"many":[29],"public":[30],"datasets":[31],"for":[32,44],"common":[33],"situations":[34],"like":[35,48],"traffic":[36],"scenes,":[37],"we":[38,62],"need":[39],"to":[40,57,71],"make":[41],"a":[42,45],"particular":[46],"scene":[47],"farms.":[50],"As":[51],"it":[52],"is":[53],"costly":[54],"time-consuming":[56],"annotate":[58],"much":[59],"data":[60],"manually,":[61],"proposed":[63],"generating":[64],"images":[65],"by":[66],"converting":[69],"them":[70],"realistic":[72],"ones":[73],"adversarial":[75],"learning":[76],"approaches.":[77],"We":[78],"compare":[79],"several":[80],"image":[81],"conversion":[82],"methods":[83],"real":[85],"plant":[87],"images.":[88]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
