{"id":"https://openalex.org/W4362496499","doi":"https://doi.org/10.1109/kst57286.2023.10086714","title":"Framework for Fine-grained Recognition of Retail Products from a Single Exemplar","display_name":"Framework for Fine-grained Recognition of Retail Products from a Single Exemplar","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4362496499","doi":"https://doi.org/10.1109/kst57286.2023.10086714"},"language":"en","primary_location":{"id":"doi:10.1109/kst57286.2023.10086714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst57286.2023.10086714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Smart Technology (KST)","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/A5017834508","display_name":"Ryosuke Sakai","orcid":"https://orcid.org/0000-0002-0656-8938"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryosuke Sakai","raw_affiliation_strings":["NEC Corporation,Visual Intelligence Research Laboratories,Japan","Visual Intelligence Research Laboratories, NEC Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NEC Corporation,Visual Intelligence Research Laboratories,Japan","institution_ids":["https://openalex.org/I118347220"]},{"raw_affiliation_string":"Visual Intelligence Research Laboratories, NEC Corporation, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112449745","display_name":"Tomokazu Kaneko","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomokazu Kaneko","raw_affiliation_strings":["NEC Corporation,Visual Intelligence Research Laboratories,Japan","Visual Intelligence Research Laboratories, NEC Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NEC Corporation,Visual Intelligence Research Laboratories,Japan","institution_ids":["https://openalex.org/I118347220"]},{"raw_affiliation_string":"Visual Intelligence Research Laboratories, NEC Corporation, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112272124","display_name":"Soma Shiraishi","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Soma Shiraishi","raw_affiliation_strings":["NEC Corporation,Visual Intelligence Research Laboratories,Japan","Visual Intelligence Research Laboratories, NEC Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NEC Corporation,Visual Intelligence Research Laboratories,Japan","institution_ids":["https://openalex.org/I118347220"]},{"raw_affiliation_string":"Visual Intelligence Research Laboratories, NEC Corporation, Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017834508"],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49010564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9994999766349792,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8102611303329468},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6887833476066589},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.668408215045929},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.6670165657997131},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6032360792160034},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5922284126281738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5806388854980469},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5757930278778076},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5200014710426331},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4639403820037842},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4335366487503052},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.335929274559021},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07647007703781128},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06502071022987366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8102611303329468},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6887833476066589},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.668408215045929},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.6670165657997131},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6032360792160034},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5922284126281738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5806388854980469},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5757930278778076},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5200014710426331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4639403820037842},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4335366487503052},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.335929274559021},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07647007703781128},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06502071022987366},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst57286.2023.10086714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst57286.2023.10086714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W16066671","https://openalex.org/W2096733369","https://openalex.org/W2108598243","https://openalex.org/W2127095579","https://openalex.org/W2740558313","https://openalex.org/W2784163702","https://openalex.org/W2897842311","https://openalex.org/W2914924014","https://openalex.org/W2962898354","https://openalex.org/W2963466847","https://openalex.org/W2969985801","https://openalex.org/W3010622391","https://openalex.org/W3103152812","https://openalex.org/W3131435354","https://openalex.org/W3183508146","https://openalex.org/W6759022161","https://openalex.org/W6762718338","https://openalex.org/W6770979763","https://openalex.org/W6798189970"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2626642044","https://openalex.org/W2902924992","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2619807045","https://openalex.org/W2062218266","https://openalex.org/W2979990497","https://openalex.org/W2991522752","https://openalex.org/W2075445622"],"abstract_inverted_index":{"We":[0,23,121],"propose":[1,97],"a":[2,13,25,37,45,52,67,90],"framework":[3,141],"which":[4,49],"allows":[5],"one-shot":[6,32],"fine-grained":[7,108],"recognition":[8,33,109],"of":[9,55,69,84,125,128],"retail":[10,111],"products":[11,56,112,117],"in":[12,20,130],"real":[14,78],"store":[15],"from":[16,57],"clean":[17,75],"images":[18,76],"used":[19],"e-commerce":[21],"websites.":[22],"apply":[24],"metric":[26,39,103],"learning":[27,104],"approach":[28],"to":[29,106,143],"train":[30],"the":[31,74,85,98,123],"model.":[34],"To":[35,80],"learn":[36],"suitable":[38],"space":[40],"for":[41,110,116,133],"classification,":[42],"we":[43,88,96],"construct":[44],"data":[46],"collection":[47],"system":[48],"efficiently":[50],"captures":[51],"large":[53],"variety":[54],"various":[58],"viewpoints":[59],"under":[60],"controllable":[61],"lighting":[62],"conditions.":[63],"This":[64],"dataset":[65],"plays":[66],"role":[68],"an":[70],"intermediate":[71,86],"domain":[72,91],"between":[73],"and":[77,102,137],"stores.":[79],"expand":[81],"applicable":[82],"area":[83],"domain,":[87],"use":[89],"generalization":[92],"technique.":[93],"In":[94],"addition,":[95],"pseudo":[99],"class":[100],"generation":[101],"method":[105],"enhance":[107],"such":[113],"as":[114],"classification":[115],"with":[118],"multiple":[119],"flavors.":[120],"demonstrate":[122],"effectiveness":[124],"each":[126],"part":[127],"technique":[129],"our":[131,134,140],"experiments":[132],"target":[135],"task,":[136],"show":[138],"that":[139],"leads":[142],"high-accuracy":[144],"recognition.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}