An Analysis on the Effect of Skip Connections in Fully Convolutional Networks for License Plate Localization
| dc.contributor.author | Uzun, E. | |
| dc.contributor.author | Akagunduz, E. | |
| dc.contributor.authorID | 233834 | tr_TR |
| dc.contributor.other | 01. Çankaya Üniversitesi | |
| dc.date.accessioned | 2020-05-10T05:22:52Z | |
| dc.date.accessioned | 2025-09-18T14:10:31Z | |
| dc.date.available | 2020-05-10T05:22:52Z | |
| dc.date.available | 2025-09-18T14:10:31Z | |
| dc.date.issued | 2019 | |
| 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.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.uri | https://doi.org/10.1109/SIU.2019.8806344 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12416/13713 | |
| 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.rights | info:eu-repo/semantics/closedAccess | en_US |
| 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 | 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.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.scopusid | 57210945756 | |
| gdc.author.scopusid | 8331988500 | |
| gdc.author.wosid | Akagündüz, Erdem/W-1788-2018 | |
| gdc.description.department | Çankaya University | en_US |
| gdc.description.departmenttemp | Uzun E., Electrical and Electronics Engineering Department, Çankaya University, Ankara, Turkey; Akagunduz E., Electrical and Electronics Engineering Department, Çankaya University, Ankara, Turkey | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
| gdc.identifier.openalex | W2969990054 | |
| gdc.identifier.wos | WOS:000518994300063 | |
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