{"id":"https://openalex.org/W2792076282","doi":"https://doi.org/10.1109/vcip.2017.8305065","title":"Graphic logo detection with deep region-based convolutional networks","display_name":"Graphic logo detection with deep region-based convolutional networks","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2792076282","doi":"https://doi.org/10.1109/vcip.2017.8305065","mag":"2792076282"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5022893707","display_name":"Yuanyuan Li","orcid":"https://orcid.org/0000-0001-7745-5263"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanyuan Li","raw_affiliation_strings":["Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103865285","display_name":"Qiuyue Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyue Shi","raw_affiliation_strings":["Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078140833","display_name":"Jiangfan Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangfan Deng","raw_affiliation_strings":["Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101754632","display_name":"Fei Su","orcid":"https://orcid.org/0000-0003-4245-4687"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Su","raw_affiliation_strings":["Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022893707"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.3641,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.706291,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10036","display_name":"Advanced Neural Network Applications","score":0.992900013923645,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9919000267982483,"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":0.8379553556442261},{"id":"https://openalex.org/keywords/logo","display_name":"Logo (programming language)","score":0.797179102897644},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7184786796569824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6517317891120911},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6124199032783508},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6019418239593506},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5974035263061523},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5364260077476501},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5038589835166931},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4750480651855469},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4544459283351898},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43664151430130005},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42633256316185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37275224924087524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3384680151939392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8379553556442261},{"id":"https://openalex.org/C2778720087","wikidata":"https://www.wikidata.org/wiki/Q201436","display_name":"Logo (programming language)","level":2,"score":0.797179102897644},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7184786796569824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6517317891120911},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6124199032783508},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6019418239593506},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5974035263061523},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5364260077476501},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5038589835166931},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4750480651855469},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4544459283351898},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43664151430130005},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42633256316185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37275224924087524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3384680151939392},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W73858164","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1597757028","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1980972548","https://openalex.org/W2102605133","https://openalex.org/W2103577800","https://openalex.org/W2117539524","https://openalex.org/W2151103935","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2219856611","https://openalex.org/W2567254970","https://openalex.org/W2613718673","https://openalex.org/W2963331658","https://openalex.org/W2963487083","https://openalex.org/W4294649785","https://openalex.org/W6620707391","https://openalex.org/W6631782140","https://openalex.org/W6635702307","https://openalex.org/W6639204139"],"related_works":["https://openalex.org/W4382895929","https://openalex.org/W2164977745","https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W2969228573"],"abstract_inverted_index":{"Logo":[0],"detection":[1,34],"is":[2],"a":[3,54,110],"challenging":[4],"task":[5],"with":[6,50,63,109],"many":[7],"practical":[8],"applications":[9],"in":[10,79],"our":[11],"daily":[12],"life":[13],"and":[14,29,43,47,91],"intellectual":[15],"property":[16],"protection.":[17],"The":[18],"two":[19],"main":[20],"obstacles":[21],"here":[22],"are":[23],"lack":[24],"of":[25,32,95],"public":[26],"logo":[27,33,70],"datasets":[28],"effective":[30],"design":[31],"structure.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,58],"first":[40],"manually":[41],"collected":[42],"annotated":[44],"6,400":[45],"images":[46],"mix":[48],"them":[49],"FlickrLogo-32":[51],"dataset,":[52],"forming":[53],"larger":[55],"dataset.":[56],"Secondly,":[57],"constructed":[59],"Faster":[60],"R-CNN":[61],"frameworks":[62],"several":[64],"widely":[65],"used":[66,86],"classification":[67],"models":[68],"for":[69],"detection.":[71],"Furthermore,":[72],"the":[73,80,101,105],"transfer":[74],"learning":[75],"method":[76],"was":[77,85],"introduced":[78],"training":[81],"process.":[82],"Finally,":[83],"clustering":[84],"to":[87],"guarantee":[88],"suitable":[89],"hyper-parameters":[90],"more":[92],"precise":[93],"anchors":[94],"RPN.":[96],"Experimental":[97],"results":[98],"show":[99],"that":[100],"proposed":[102],"framework":[103],"outperforms":[104],"state":[106],"of-the-art":[107],"methods":[108],"noticeable":[111],"margin.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
