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undergraduate thesis
Klasifikacija slika korištenjem transformatorskih mreža
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:547052
Barbić, Matko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Barbić, M. (2022). Klasifikacija slika korištenjem transformatorskih mreža (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:547052

Barbić, Matko. "Klasifikacija slika korištenjem transformatorskih mreža." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:547052

Barbić, Matko. "Klasifikacija slika korištenjem transformatorskih mreža." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:547052

Barbić, M. (2022). 'Klasifikacija slika korištenjem transformatorskih mreža', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:547052

Barbić M. Klasifikacija slika korištenjem transformatorskih mreža [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:547052

M. Barbić, "Klasifikacija slika korištenjem transformatorskih mreža", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:547052

Metadata
TitleKlasifikacija slika korištenjem transformatorskih mreža
Title (english)Image Classification Using Transformer Networks
AuthorMatko Barbić
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberLuka Posilović (član povjerenstva)
Committee memberDonik Vršnak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kompjuterska vizija je važno područje umjetne inteligencije. Od 2012. konvolucijske neuronske mreže su najčešće korišteni oblik umjetne inteligencije za rješavanje problema u području računalnog vida. U 2021. transformer arhitektura, koja se do tada uglavnom koristila za probleme procesiranja prirodnog jezika, je adaptirana za rješavanje problema računalnog vida. U ovom radu smo proučili mehanizam pažnje koji se koristi u transformerskim arhitekturama, implementirali dvije najpopularnije transformerske arhitekture za rad na slikama i usporedili rezultate s modernom konvolucijskom neuronskom mrežom.
Abstract (english)
Computer vision is an important area of artificial intelligence. Since 2012. convolutional neural networks are most common form of solving problems in the computer vision field. In 2021. transformer architecture, which was until then mostly used for natural language processing, was adapted for solving computer vision tasks. In this paper we investigated the attention mechanism used in transformer architectures, implemented two of the most popular transformer architectures used on images and compared the results with a modern convolutional neural network.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:547052
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 on2023-01-15 09:44:40