{"id":"https://openalex.org/W3120139496","doi":"https://doi.org/10.1109/icarcv50220.2020.9305421","title":"Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition","display_name":"Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition","publication_year":2020,"publication_date":"2020-12-13","ids":{"openalex":"https://openalex.org/W3120139496","doi":"https://doi.org/10.1109/icarcv50220.2020.9305421","mag":"3120139496"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv50220.2020.9305421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv50220.2020.9305421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Data_augmentation_with_generative_adversarial_networks_for_grocery_product_image_recognition/23100536","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008203839","display_name":"Yu-Chen Wei","orcid":"https://orcid.org/0000-0001-7840-5065"},"institutions":[{"id":"https://openalex.org/I129801699","display_name":"University of Tasmania","ror":"https://ror.org/01nfmeh72","country_code":"AU","type":"education","lineage":["https://openalex.org/I129801699"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuchen Wei","raw_affiliation_strings":["Discipline of ICT, School of TED, University of Tasmania, Tasmania, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Discipline of ICT, School of TED, University of Tasmania, Tasmania, Australia","institution_ids":["https://openalex.org/I129801699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033137793","display_name":"Shuxiang Xu","orcid":"https://orcid.org/0000-0003-0597-7040"},"institutions":[{"id":"https://openalex.org/I129801699","display_name":"University of Tasmania","ror":"https://ror.org/01nfmeh72","country_code":"AU","type":"education","lineage":["https://openalex.org/I129801699"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shuxiang Xu","raw_affiliation_strings":["Discipline of ICT, School of TED, University of Tasmania, Tasmania, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Discipline of ICT, School of TED, University of Tasmania, Tasmania, Australia","institution_ids":["https://openalex.org/I129801699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008915336","display_name":"Son N. Tran","orcid":"https://orcid.org/0000-0002-5912-293X"},"institutions":[{"id":"https://openalex.org/I129801699","display_name":"University of Tasmania","ror":"https://ror.org/01nfmeh72","country_code":"AU","type":"education","lineage":["https://openalex.org/I129801699"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Son Tran","raw_affiliation_strings":["Discipline of ICT, School of TED, University of Tasmania, Tasmania, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Discipline of ICT, School of TED, University of Tasmania, Tasmania, Australia","institution_ids":["https://openalex.org/I129801699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069403329","display_name":"Byeong Ho Kang","orcid":"https://orcid.org/0000-0003-3476-8838"},"institutions":[{"id":"https://openalex.org/I129801699","display_name":"University of Tasmania","ror":"https://ror.org/01nfmeh72","country_code":"AU","type":"education","lineage":["https://openalex.org/I129801699"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Byeong Kang","raw_affiliation_strings":["Discipline of ICT, School of TED, University of Tasmania, Tasmania, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Discipline of ICT, School of TED, University of Tasmania, Tasmania, Australia","institution_ids":["https://openalex.org/I129801699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129801699"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"963","last_page":"968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9968000054359436,"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":0.9968000054359436,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9617000222206116,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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":0.8016657829284668},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6814640760421753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6260212659835815},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5853092670440674},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5496339797973633},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5436813235282898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5011208057403564},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44922110438346863},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.423301100730896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41872453689575195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016657829284668},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6814640760421753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6260212659835815},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5853092670440674},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5496339797973633},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5436813235282898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5011208057403564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44922110438346863},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.423301100730896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41872453689575195}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icarcv50220.2020.9305421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv50220.2020.9305421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.utas.edu.au:36669","is_oa":false,"landing_page_url":"https://eprints.utas.edu.au/36669/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400075","display_name":"Open Access Repository (University of Tasmania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129801699","host_organization_name":"University of Tasmania","host_organization_lineage":["https://openalex.org/I129801699"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Publication"},{"id":"pmh:oai:eprints.utas.edu.au:42384","is_oa":false,"landing_page_url":"https://eprints.utas.edu.au/42384/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400075","display_name":"Open Access Repository (University of Tasmania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129801699","host_organization_name":"University of Tasmania","host_organization_lineage":["https://openalex.org/I129801699"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Publication"},{"id":"pmh:oai:figshare.com:article/23100536","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Data_augmentation_with_generative_adversarial_networks_for_grocery_product_image_recognition/23100536","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Conference contribution"},{"id":"pmh:oai:figshare.com:article/28139567","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Data_Augmentation_with_Generative_Adversarial_Networks_for_Grocery_Product_Image_Recognition/28139567","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/23100536","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Data_augmentation_with_generative_adversarial_networks_for_grocery_product_image_recognition/23100536","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W385466589","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2127095579","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2173520492","https://openalex.org/W2183341477","https://openalex.org/W2548275288","https://openalex.org/W2555440590","https://openalex.org/W2602178251","https://openalex.org/W2740558313","https://openalex.org/W2794022343","https://openalex.org/W2807869636","https://openalex.org/W2895446962","https://openalex.org/W2897842311","https://openalex.org/W2898091194","https://openalex.org/W2911663386","https://openalex.org/W2914924014","https://openalex.org/W2937748450","https://openalex.org/W2950776302","https://openalex.org/W2954996726","https://openalex.org/W2962793481","https://openalex.org/W2963373786","https://openalex.org/W2963684088","https://openalex.org/W2963686633","https://openalex.org/W2963912358","https://openalex.org/W2963981733","https://openalex.org/W2981976713","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6684191040","https://openalex.org/W6718379498","https://openalex.org/W6729482032","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W3211393740","https://openalex.org/W3208049411","https://openalex.org/W4385421777","https://openalex.org/W3178813832","https://openalex.org/W3022908591","https://openalex.org/W4377980832","https://openalex.org/W2946768379","https://openalex.org/W2981877337"],"abstract_inverted_index":{"Image":[0],"recognition":[1,48,92,146],"tasks":[2],"have":[3],"gained":[4],"enormous":[5],"progress":[6],"with":[7],"a":[8,44],"tremendous":[9],"amount":[10],"of":[11,31,38,78,158,167],"training":[12,21,39,84],"data.":[13],"However,":[14],"it":[15],"isn't":[16],"easy":[17],"to":[18,53,74,81,88,105,165],"obtain":[19],"such":[20],"datasets":[22],"that":[23,131,155,166],"contain":[24],"numerous":[25],"annotated":[26],"images":[27,67],"in":[28,43,145,172],"the":[29,76,107,113,123,138,152,156],"domain":[30],"grocery":[32,90],"product":[33,91],"recognition.":[34],"A":[35],"small":[36],"number":[37],"data":[40,69,118,161],"always":[41],"results":[42,153],"less":[45],"than":[46],"stellar":[47],"accuracy.":[49,93,147],"Here":[50],"we":[51,111],"attempt":[52],"address":[54],"this":[55,95],"challenge":[56],"by":[57],"using":[58,79,116,159,168],"generative":[59],"adversarial":[60],"networks":[61],"(GAN),":[62],"which":[63,141,171],"can":[64],"generate":[65],"natural":[66],"for":[68],"augmentation.":[70],"This":[71],"paper":[72],"aims":[73],"investigate":[75],"feasibility":[77],"GAN":[80,98,134],"create":[82],"synthetic":[83],"data,":[85,170],"and":[86,100,121,179],"thus":[87],"improve":[89],"In":[94],"work,":[96],"different":[97,117],"variants":[99],"image":[101],"rotation":[102],"are":[103,177],"employed":[104],"enlarge":[106],"fruit":[108],"datasets.":[109],"Then,":[110],"train":[112],"CNN":[114],"classifier":[115],"augmentation":[119],"methods":[120],"compare":[122],"top-1":[124],"accuracy":[125],"results.":[126],"Finally,":[127],"our":[128,173],"experiments":[129],"demonstrate":[130],"Auxiliary":[132],"Classifier":[133],"(ACGAN)":[135],"has":[136],"achieved":[137],"best":[139,174],"performance,":[140],"obtains":[142],"l.26%~3.44%":[143],"increase":[144],"As":[148],"an":[149],"additional":[150],"contribution,":[151],"show":[154],"effectiveness":[157],"generated":[160],"is":[162],"very":[163],"close":[164],"real":[169],"experimental":[175],"case,":[176],"93.85%":[178],"94.25%,":[180],"respectively.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}