{"id":"https://openalex.org/W4386212672","doi":"https://doi.org/10.1109/siu59756.2023.10224016","title":"A Metric Learning Based System for Retail Product Recognition and Novel Class Discovery","display_name":"A Metric Learning Based System for Retail Product Recognition and Novel Class Discovery","publication_year":2023,"publication_date":"2023-07-05","ids":{"openalex":"https://openalex.org/W4386212672","doi":"https://doi.org/10.1109/siu59756.2023.10224016"},"language":"en","primary_location":{"id":"doi:10.1109/siu59756.2023.10224016","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/siu59756.2023.10224016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Signal Processing and Communications Applications Conference (SIU)","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/A5038720278","display_name":"\u0130brahim \u015eamil Yal\u00e7\u0131ner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u0130brahim \u015eamil Yal\u00e7iner","raw_affiliation_strings":["&#x0130;stanbul Teknik &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"&#x0130;stanbul Teknik &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092705810","display_name":"Z\u00fcbeyir Gen\u00e7","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Z\u00fcbeyir Gen\u00e7","raw_affiliation_strings":["&#x0130;stanbul Teknik &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"&#x0130;stanbul Teknik &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008972982","display_name":"L\u00fctf\u00fc \u00c7akil","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L\u00fctf\u00fc \u00c7akil","raw_affiliation_strings":["REM People,&#x0130;stanbul,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"REM People,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009982931","display_name":"Haz\u0131m Kemal Ekenel","orcid":"https://orcid.org/0000-0003-3697-8548"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hazim Kemal Ekenel","raw_affiliation_strings":["&#x0130;stanbul Teknik &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"&#x0130;stanbul Teknik &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9532999992370605,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9532999992370605,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.932200014591217,"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":0.684017539024353},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6291132569313049},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6075958609580994},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.596176028251648},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5445246696472168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5272865891456604},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5228555202484131},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4961031377315521},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4879002273082733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.471851110458374},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4709806442260742},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45277220010757446},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4273696541786194},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42033815383911133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3856493830680847},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17242658138275146},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1504453420639038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14521333575248718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684017539024353},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6291132569313049},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6075958609580994},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.596176028251648},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5445246696472168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5272865891456604},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5228555202484131},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4961031377315521},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4879002273082733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.471851110458374},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4709806442260742},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45277220010757446},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4273696541786194},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42033815383911133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3856493830680847},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17242658138275146},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1504453420639038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14521333575248718},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu59756.2023.10224016","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/siu59756.2023.10224016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/67037","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/67037","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W2350529538","https://openalex.org/W2366015234","https://openalex.org/W2124911099"],"abstract_inverted_index":{"Developing":[0],"a":[1,56,104],"retail":[2],"product":[3,33,44,59,65,121],"recognition":[4,13,60,66,122],"system":[5,37,61,84],"presents":[6],"different":[7],"challenges":[8],"compared":[9],"to":[10,23,71],"traditional":[11],"object":[12],"systems.":[14],"Retail":[15],"products":[16,74],"contain":[17],"classes":[18,34,45],"that":[19,62],"are":[20,85],"very":[21],"similar":[22],"each":[24],"other":[25],"but":[26],"differ":[27],"in":[28,35,120,130],"small":[29],"details.":[30],"The":[31,79],"current":[32],"the":[36,69,86],"must":[38],"be":[39],"frequently":[40],"expanded":[41],"with":[42,48],"new":[43,73,132],"or":[46],"updated":[47],"packaging":[49],"changes.":[50],"For":[51],"these":[52],"reasons,":[53],"we":[54,114],"developed":[55],"metric":[57],"learning-based":[58],"provides":[63],"superior":[64],"performance":[67],"and":[68,75,97,123],"ability":[70],"add":[72],"update":[76],"existing":[77],"ones.":[78],"key":[80],"components":[81],"of":[82,108,118,128],"our":[83],"ConvNext_nano":[87],"feature":[88,92],"extractor,":[89],"ArcFace":[90],"loss,":[91],"vector":[93],"database,":[94],"similarity":[95],"search,":[96],"clustering":[98,126],"algorithm.":[99],"Through":[100],"tests":[101],"performed":[102],"on":[103],"custom":[105],"dataset":[106],"consisting":[107],"775,000":[109],"samples":[110],"from":[111],"994":[112],"classes,":[113],"achieved":[115],"an":[116,124],"accuracy":[117,127],"93.7%":[119],"average":[125],"67.58%":[129],"discovering":[131],"products.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
