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undergraduate thesis
Inkrementalno učenje modela za raspoznavanje slike uz dodavanje novih razreda
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:361687
Deković, Dario
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Deković, D. (2021). Inkrementalno učenje modela za raspoznavanje slike uz dodavanje novih razreda (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:361687

Deković, Dario. "Inkrementalno učenje modela za raspoznavanje slike uz dodavanje novih razreda." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:361687

Deković, Dario. "Inkrementalno učenje modela za raspoznavanje slike uz dodavanje novih razreda." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:361687

Deković, D. (2021). 'Inkrementalno učenje modela za raspoznavanje slike uz dodavanje novih razreda', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:361687

Deković D. Inkrementalno učenje modela za raspoznavanje slike uz dodavanje novih razreda [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 August 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:361687

D. Deković, "Inkrementalno učenje modela za raspoznavanje slike uz dodavanje novih razreda", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:361687

Metadata
TitleInkrementalno učenje modela za raspoznavanje slike uz dodavanje novih razreda
Title (english)Class-incremental learning for image recognition
AuthorDario Deković
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberPetra Bevandić (član povjerenstva)
Committee memberMatej Grcić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Inkrementalno učenje uz dodavanje novih razreda jedna je od grana dubokog učenja. Nadalje, posebno je zanimljiva primjena inkrementalnog učenja uz dodavanje novih razreda na problemu raspoznavanja slika. Inkrementalno učenje uz dodavanje novih razreda izrazito je korisno u sustavima za rad u stvarnom vremenu kao što su, na primjer, roboti. Jedna od novijih metoda u tom području je konsolidacija dubokih modela i ona je detaljnije proučena i implementirana u ovom radu. Implementacija metode testirana je na dobro poznatom skupu podataka CIFAR-100 za različite konfiguracije problema.
Abstract (english)
Class-incremental learning is one of the branches of deep learning. Furthermore, the application of class-incremental learning to the problem of image recognition is particularly interesting. Class-incremental learning is very useful in real-time systems such as, for example, robots. One of the newer methods in this area is the deep model consolidation, and it has been studied in more detail and implemented in this paper. The implementation was tested on the well-known data set CIFAR-100 for different problem configurations.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:361687
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 on2023-01-14 20:16:55