{"id":"https://openalex.org/W2898100092","doi":"https://doi.org/10.1109/asonam.2018.8508293","title":"Fine-Grained Object Detection Using Transfer Learning and Data Augmentation","display_name":"Fine-Grained Object Detection Using Transfer Learning and Data Augmentation","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898100092","doi":"https://doi.org/10.1109/asonam.2018.8508293","mag":"2898100092"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5039423131","display_name":"Rahul S. Dalal","orcid":"https://orcid.org/0000-0003-4622-8441"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rahul Dalal","raw_affiliation_strings":["Department of Computer Science, San Jos\u00e9 State University, San Jos\u00e9, CA, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, San Jos\u00e9 State University, San Jos\u00e9, CA, U.S.A","institution_ids":["https://openalex.org/I51504820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019298277","display_name":"Teng-Sheng Moh","orcid":"https://orcid.org/0000-0002-2726-102X"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teng-Sheng Moh","raw_affiliation_strings":["Department of Computer Science, San Jos\u00e9 State University, San Jos\u00e9, CA, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, San Jos\u00e9 State University, San Jos\u00e9, CA, U.S.A","institution_ids":["https://openalex.org/I51504820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039423131"],"corresponding_institution_ids":["https://openalex.org/I51504820"],"apc_list":null,"apc_paid":null,"fwci":0.8528,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79628736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"893","last_page":"896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9979000091552734,"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":0.804222822189331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.793318510055542},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7832968831062317},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7443800568580627},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.696385383605957},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.668839693069458},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6642311215400696},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5002632141113281},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4895554482936859},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4809345602989197},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4765356481075287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40118736028671265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.804222822189331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.793318510055542},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7832968831062317},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7443800568580627},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.696385383605957},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.668839693069458},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6642311215400696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5002632141113281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4895554482936859},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4809345602989197},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4765356481075287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40118736028671265}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2018.8508293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1797268635","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2183182206","https://openalex.org/W2292164756","https://openalex.org/W2570343428","https://openalex.org/W2963037989","https://openalex.org/W2963542991","https://openalex.org/W3106250896","https://openalex.org/W4293863093","https://openalex.org/W6629368666","https://openalex.org/W6638444622","https://openalex.org/W6674914833","https://openalex.org/W6686193389","https://openalex.org/W6697020040","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3167935049"],"abstract_inverted_index":{"Object":[0],"detection":[1,66],"plays":[2],"a":[3,56,58,61,116],"vital":[4],"role":[5],"in":[6,79],"many":[7],"real-world":[8],"computer":[9,37],"vision":[10,38],"applications":[11],"such":[12],"as":[13],"self-driving":[14],"cars,":[15],"human-less":[16],"stores":[17],"and":[18,60,103],"general":[19],"purpose":[20],"robotic":[21],"systems.":[22],"Convolutional":[23],"Neural":[24],"Network(CNN)":[25],"based":[26],"Deep":[27],"Learning":[28],"has":[29,47,87],"evolved":[30],"to":[31,67,92],"become":[32],"the":[33,45,109,132],"backbone":[34],"of":[35,44,74,96,111,121,127,136],"most":[36],"algorithms,":[39],"including":[40],"object":[41,65],"detection.":[42],"Most":[43],"research":[46,86],"focused":[48],"on":[49,105],"detecting":[50],"objects":[51,75],"that":[52],"differ":[53],"significantly":[54],"e.g.":[55],"car,":[57],"person,":[59],"bird.":[62],"Achieving":[63],"fine-grained":[64],"detect":[68,93],"different":[69],"types":[70,95],"within":[71],"one":[72],"class":[73],"can":[76],"be":[77],"crucial":[78],"tasks":[80],"like":[81],"automated":[82],"retail":[83],"checkout.":[84],"This":[85],"developed":[88],"deep":[89],"learning":[90],"models":[91,100],"200":[94],"similar":[97],"birds.":[98],"The":[99],"were":[101],"trained":[102],"tested":[104],"CUB-200-2011":[106],"dataset.":[107],"To":[108],"best":[110,134],"our":[112],"knowledge,":[113],"by":[114],"attaining":[115],"mean":[117],"Average":[118],"Precision":[119],"(mAP)":[120],"71.5%":[122],"we":[123],"achieved":[124],"an":[125],"improvement":[126],"5":[128],"percentage":[129],"points":[130],"over":[131],"previous":[133],"mAP":[135],"66.2%.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}