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undergraduate thesis
Pronalaženje teksta dubokim konvolucijskim modelima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:484947
Fugošić, Kristijan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Fugošić, K. (2018). Pronalaženje teksta dubokim konvolucijskim modelima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:484947

Fugošić, Kristijan. "Pronalaženje teksta dubokim konvolucijskim modelima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:484947

Fugošić, Kristijan. "Pronalaženje teksta dubokim konvolucijskim modelima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:484947

Fugošić, K. (2018). 'Pronalaženje teksta dubokim konvolucijskim modelima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:484947

Fugošić K. Pronalaženje teksta dubokim konvolucijskim modelima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 August 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:484947

K. Fugošić, "Pronalaženje teksta dubokim konvolucijskim modelima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:484947

Metadata
TitlePronalaženje teksta dubokim konvolucijskim modelima
Title (english)Text Localization With Deep Convolutional Models
AuthorKristijan Fugošić
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberPetra Bevandić (član povjerenstva)
Committee memberMarin Oršić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Korištenje dubokog učenja u metodama pronalaženja teksta, ali i u mnogim drugim problemima računalnog vida, dovelo je do značajnog napretka. Rezidualne mreže imaju puno bolje performanse od tradicionalnih neuronskih mreža pri većim dubinama te su se pokazale kao veoma korisne u svrhu pronalaženja teksta. Promatranjem rezultata natjecanja poput Robust Reading Competitiona vide se raznoliki pristupi pri rješavanju ovoga problema i napredak koji se ostvaruje kroz godine. Model za pronalaženje teksta EAST ima naglasak na jednostavnosti arhitekture i brzini izvođenja, te postiže veoma dobre rezultate.
Abstract (english)
The use of deep learning in text localization methods, but also in many other computer vision problems, has brought significant progress to the field. Residual networks perform much better than traditional neural networks at higher depths, and have proved to be very useful for text localization. By observing the results of competitions like Robust Reading Competition, we can see many different approaches to addressing this problem, as well as the progress that has been made over the years. A text-localization model EAST has an emphasis on performance and simple architecture, and achieves very good results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:484947
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 20:19:33