Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

An Analysis On the Effect of Skip Connections in Fully Convolutional Networks for License Plate Localization [Tam Evrişimli Aǧlardaki Atlama Baǧlantilarinin Plaka Konumu Bulmaya Etkisi Üzerine Bir İnceleme]

dc.authorscopusid 57210945756
dc.authorscopusid 8331988500
dc.authorwosid Akagündüz, Erdem/W-1788-2018
dc.contributor.author Uzun, E.
dc.contributor.author Akagunduz, E.
dc.contributor.authorID 233834 tr_TR
dc.date.accessioned 2020-05-10T05:22:52Z
dc.date.available 2020-05-10T05:22:52Z
dc.date.issued 2019
dc.department Çankaya University en_US
dc.department-temp Uzun E., Electrical and Electronics Engineering Department, Çankaya University, Ankara, Turkey; Akagunduz E., Electrical and Electronics Engineering Department, Çankaya University, Ankara, Turkey en_US
dc.description.abstract In this study, the effect of the skip connections, which are seen in fully convolutional networks, on object localization is analyzed. For this purpose, a local data set for plate detection is created. Experiments are carried out using this data set. Due to the small size of the image set, data augmentation method is used to overcome the danger of over-fitting. The learning rates of the first layers are frozen for analysis and finetuning is applied to only the last layer and deconvolution layers. The results obtained are compared with the results of other image sets. The results indicate the importance of the information provided by the skip connections on object localization. © 2019 IEEE. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citation Uzun, E.; Akagunduz, E., "An Analysis On the Effect of Skip Connections in Fully Convolutional Networks for License Plate Localization [Tam Evrişimli Aǧlardaki Atlama Baǧlantilarinin Plaka Konumu Bulmaya Etkisi Üzerine Bir İnceleme]", 27th Signal Processing and Communications Applications Conference, Sıu 2019, (2019). en_US
dc.identifier.doi 10.1109/SIU.2019.8806344
dc.identifier.isbn 9781728119045
dc.identifier.issn 2165-0608
dc.identifier.scopus 2-s2.0-85071992562
dc.identifier.scopusquality N/A
dc.identifier.uri https://doi.org/10.1109/SIU.2019.8806344
dc.identifier.wos WOS:000518994300063
dc.identifier.wosquality N/A
dc.language.iso tr en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 27th Signal Processing and Communications Applications Conference, SIU 2019 -- 27th Signal Processing and Communications Applications Conference, SIU 2019 -- 24 April 2019 through 26 April 2019 -- Sivas -- 151073 en_US
dc.relation.ispartofseries Signal Processing and Communications Applications Conference
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Computer Vision en_US
dc.subject Convolutional Neural Networks en_US
dc.subject Deep Learning en_US
dc.subject Object Localization en_US
dc.subject Skip Connection en_US
dc.title An Analysis On the Effect of Skip Connections in Fully Convolutional Networks for License Plate Localization [Tam Evrişimli Aǧlardaki Atlama Baǧlantilarinin Plaka Konumu Bulmaya Etkisi Üzerine Bir İnceleme] tr_TR
dc.title An Analysis on the Effect of Skip Connections in Fully Convolutional Networks for License Plate Localization en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication

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