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master's thesis
Semantička segmentacija slika interijera dubokim konvolucijskim modelima
2018. urn:nbn:hr:168:222671
Gatjal, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Gatjal, J. (2018). Semantička segmentacija slika interijera dubokim konvolucijskim modelima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:222671

Gatjal, Josip. "Semantička segmentacija slika interijera dubokim konvolucijskim modelima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:222671

Gatjal, Josip. "Semantička segmentacija slika interijera dubokim konvolucijskim modelima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:222671

Gatjal, J. (2018). 'Semantička segmentacija slika interijera dubokim konvolucijskim modelima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 07 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:222671

Gatjal J. Semantička segmentacija slika interijera dubokim konvolucijskim modelima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2025 February 07] Available at: https://urn.nsk.hr/urn:nbn:hr:168:222671

J. Gatjal, "Semantička segmentacija slika interijera dubokim konvolucijskim modelima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:222671

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Metadata
TitleSemantička segmentacija slika interijera dubokim konvolucijskim modelima
Title (english)Semantic segmentation of interior images with deep convolutional models
AuthorJosip Gatjal
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Sažetak .
Abstract (english)
Abstract .
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:222671
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 on2019-03-13 20:24:15