{"id":"https://openalex.org/W3033424148","doi":"https://doi.org/10.1145/3372278.3390734","title":"One Shot Logo Recognition Based on Siamese Neural Networks","display_name":"One Shot Logo Recognition Based on Siamese Neural Networks","publication_year":2020,"publication_date":"2020-06-02","ids":{"openalex":"https://openalex.org/W3033424148","doi":"https://doi.org/10.1145/3372278.3390734","mag":"3033424148"},"language":"en","primary_location":{"id":"doi:10.1145/3372278.3390734","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372278.3390734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","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/A5109074799","display_name":"Camilo Vargas","orcid":"https://orcid.org/0000-0001-8603-7303"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Camilo Vargas","raw_affiliation_strings":["Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067368513","display_name":"Qianni Zhang","orcid":"https://orcid.org/0000-0001-7685-2187"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qianni Zhang","raw_affiliation_strings":["Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058530878","display_name":"Ebroul Izquierdo","orcid":"https://orcid.org/0000-0002-7142-3970"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ebroul Izquierdo","raw_affiliation_strings":["Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109074799"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":1.1724,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80960543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9962000250816345,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9962000250816345,"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":0.9958999752998352,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958000183105469,"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":0.8181559443473816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7445420622825623},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6980838775634766},{"id":"https://openalex.org/keywords/logo","display_name":"Logo (programming language)","score":0.6528615355491638},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5906791687011719},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5834031701087952},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5774760246276855},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5658067464828491},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5522845983505249},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.5396963953971863},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46957963705062866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4353610873222351},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4341023564338684},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.08685991168022156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8181559443473816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7445420622825623},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6980838775634766},{"id":"https://openalex.org/C2778720087","wikidata":"https://www.wikidata.org/wiki/Q201436","display_name":"Logo (programming language)","level":2,"score":0.6528615355491638},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5906791687011719},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5834031701087952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5774760246276855},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5658067464828491},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5522845983505249},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.5396963953971863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46957963705062866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4353610873222351},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4341023564338684},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.08685991168022156},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372278.3390734","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372278.3390734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","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":15,"referenced_works":["https://openalex.org/W1932198206","https://openalex.org/W2003813371","https://openalex.org/W2031039904","https://openalex.org/W2132549764","https://openalex.org/W2171590421","https://openalex.org/W2249069931","https://openalex.org/W2470394683","https://openalex.org/W2560835477","https://openalex.org/W2574981201","https://openalex.org/W2604846069","https://openalex.org/W2776722832","https://openalex.org/W2963854930","https://openalex.org/W3146079624","https://openalex.org/W6645445107","https://openalex.org/W6745950685"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W4294892107","https://openalex.org/W2955491601","https://openalex.org/W146529714","https://openalex.org/W3142396426","https://openalex.org/W2471333042","https://openalex.org/W2316500695","https://openalex.org/W2094813019"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"an":[3,111],"approach":[4,73,109],"for":[5,54,90],"one-shot":[6,57,117],"logo":[7,28,36],"recognition":[8,58,67],"that":[9,22],"relies":[10],"on":[11,25],"a":[12,19,26,76,97],"Siamese":[13],"neural":[14],"network":[15],"(SNN)":[16],"embedded":[17],"with":[18],"pre-trained":[20],"model":[21,32],"is":[23,33,124],"fine-tuned":[24,34],"challenging":[27],"dataset.":[29,122],"Although":[30],"the":[31,38,51,56,63,70,116,120],"using":[35,96],"images,":[37],"training":[39],"and":[40,100,105],"testing":[41,55],"datasets":[42],"do":[43],"not":[44],"have":[45],"overlapped":[46],"categories;":[47],"meaning":[48],"that,":[49],"all":[50],"classes":[52],"used":[53],"framework":[59],"remain":[60],"unseen":[61],"during":[62],"fine-tuning":[64],"process.":[65],"The":[66,87,107],"process":[68],"follows":[69],"standard":[71],"SNN":[72],"in":[74,119],"which":[75],"pair":[77],"of":[78,113],"input":[79],"images":[80],"are":[81,93],"encoded":[82,88],"by":[83],"each":[84,91],"sister":[85],"network.":[86],"outputs":[89],"image":[92],"afterwards":[94],"compared":[95],"trained":[98],"metric":[99],"thresholded":[101],"to":[102],"define":[103],"matches":[104],"mismatches.":[106],"proposed":[108],"achieves":[110],"accuracy":[112],"77.07%":[114],"under":[115],"constraints":[118],"QMUL-OpenLogo":[121],"Code":[123],"available":[125],"at":[126],"https://github.com/cjvargasc/oneshot_siamese/.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
