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master's thesis
Poboljšanje procjene duboke neuronske mreže kroz variranje slikovnog ulaza
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:587141
Franetović, Roko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Franetović, R. (2022). Poboljšanje procjene duboke neuronske mreže kroz variranje slikovnog ulaza (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:587141

Franetović, Roko. "Poboljšanje procjene duboke neuronske mreže kroz variranje slikovnog ulaza." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:587141

Franetović, Roko. "Poboljšanje procjene duboke neuronske mreže kroz variranje slikovnog ulaza." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:587141

Franetović, R. (2022). 'Poboljšanje procjene duboke neuronske mreže kroz variranje slikovnog ulaza', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:587141

Franetović R. Poboljšanje procjene duboke neuronske mreže kroz variranje slikovnog ulaza [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 August 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:587141

R. Franetović, "Poboljšanje procjene duboke neuronske mreže kroz variranje slikovnog ulaza", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:587141

Metadata
TitlePoboljšanje procjene duboke neuronske mreže kroz variranje slikovnog ulaza
Title (english)Improving of Deep Neural Network Estimation Through Variation of Input Images
AuthorRoko Franetović
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberJuraj Petrović (član povjerenstva)
Committee memberKrešimir Križanović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Generiranje umjetnih podataka i njihovo korištenje unutar područja strojnog učenja česta je tehnika koja se koristi za testiranje i poboljšanje performansi modela. U mnogim situacijama generiranje umjetnih podataka je znatno lakši postupak naspram generacije stvarnih podataka, pogotovo u području računalnog vida gdje su podaci vrlo često slike. U ovom radu smo proučili raspoloživa programska rješenja za generiranje fotorealističnih slika 3D scena. Također smo proučili duboke neuronske mreže za procjenu parametara na temelju slika s posebnim naglaskom na konvolucijske mreže. Ispitali smo mogućnosti povezivanja odabrane arhitekture neuronske mreže i programskog rješenja za generiranje slika iz 3D scena. Istražili smo mogućnost povezivanja odabranog algoritma treniranja duboke mreže i 3D scene. Implementirali smo interaktivno mijenjanje teksture 3D modela s ciljem poboljšanja rezultata procjene duboke neuronske mreže.
Abstract (english)
Generation of artificial data and its use within the area of machine learning is a common technique used for testing and improving performance of our models. In many situations, generating artificial data is a much easier task compared to the generation of real data, especially in the area of computer vision where our data is often images. In this work, we have studied the available software solutions for generation of photorealistic images of 3D scenes. We also studied deep neural networks for parameter estimation based on images with special emphasis on convolutional neural networks. We examined methods for connecting our neural network architecture and the software solutions for generating images from 3D scenes. We also explored methods of connecting the chosen deep network training algorithm and the 3D scene. We implemented an interactive texture modification of the 3D model with the aim of improving the results of the deep neural network.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:587141
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 12:14:38