Duboke neuronske arhitekture za lokalizaciju objekata

Folnović, Matija

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undergraduate thesis

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Deep neural architectures for object localization

Matija Folnović (2015)

University of Zagreb
Faculty of Electrical Engineering and Computing

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APA 6th Edition

Folnović, M. (2015). Duboke neuronske arhitekture za lokalizaciju objekata (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:771062

MLA 8th Edition

Folnović, Matija. "Duboke neuronske arhitekture za lokalizaciju objekata." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:771062

Chicago 17th Edition

Harvard

Folnović, M. (2015). 'Duboke neuronske arhitekture za lokalizaciju objekata', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2019, https://urn.nsk.hr/urn:nbn:hr:168:771062

Vancouver

Folnović M. Duboke neuronske arhitekture za lokalizaciju objekata [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2019 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:771062

IEEE

M. Folnović, "Duboke neuronske arhitekture za lokalizaciju objekata", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:771062

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:771062

Metadata

Title	Duboke neuronske arhitekture za lokalizaciju objekata
Title (english)	Deep neural architectures for object localization
Author	Matija Folnović
Mentor	Siniša Šegvić (mentor)
Committee member	Siniša Šegvić (predsjednik povjerenstva)
Committee member	Mladen Karan (član povjerenstva)
Committee member	Goran Glavaš (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2015-07-13, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Abstract	Konvolucijske neuronske mreže postižu vrhunske rezultate na području klasifikacije slika. Međutim, te uspjehe nije jednostavno preslikati na područje lokalizacije objekata u slikama. U ovom radu razmatramo algoritme za lokalizaciju objekata u slikama koristeći konvolucijske neuronske mreže. Osim toga, razmatramo translacijski autoenkoder kao rješenje problema koji konvolucijska neuronska mreža ima s translacijom. U konačnici, razmatramo algoritam za lokalizaciju koristeći translacijski autoenkoder. Prikazani su i komentirani dobiveni rezultati klasifikacije slika u skupu MNIST, kao i lokalizacije slika iz istog skupa.
Abstract (english)	Convolutional neural networks achive excellent results in the field of image classification. However, this success is not easily mapped to the field of object localization. In this paper, we consider algorithms for object localizations using convolutional neural networks. Furthermore, we consider translational autoencoder as a solution for problems convolutional neural network has with translations. Finally, we consider the algorithm for object localization using translational autoencoder. Results of image classification and object localizations of images in MNIST dataset are shown and discussed.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:771062
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Closed access
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Created on	2018-02-06 08:45:32