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pro vyhledávání: '"Koledić, Karlo"'
Learning-based monocular depth estimation leverages geometric priors present in the training data to enable metric depth perception from a single image, a traditionally ill-posed problem. However, these priors are often specific to a particular domai
Externí odkaz:
http://arxiv.org/abs/2312.06021
Autonomous localization in unknown environ- ments is a fundamental problem in many emerging fields and the monocular visual approach offers many advantages, due to being a rich source of information and avoiding comparatively more complicated setups
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::9e848b914e17312ac2ad0afb2d1ed830
https://www.bib.irb.hr/1246785
https://www.bib.irb.hr/1246785
Autor:
Koledić, Karlo
Lokalizacija autonomnih mobilnih platformi je ključna u današnjem svijetu. Mnoga područja poput robotike, autonomnih vozila, virtualne stvarnosti te bespilotnih letjelica zahtijevaju brzu i točnu estimaciju trenutne pozicije. U ovom radu se vrši
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::65d1e87927e8f861615a867deaeeb7a9
https://www.bib.irb.hr/1220692
https://www.bib.irb.hr/1220692
Autor:
Koledić, Karlo
U ovom radu je opisan problem detekcije i klasifikacije zuba na rendgenskim slikama. Navedene su metode, modeli i arhitekture korištene pri rješavanju problema s posebnim osvrtom na Faster R-CNN arhitekturu. Na početku su objašnjene metode duboko
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4131::69bd29042b1bd7e6b2d0057adf0c3fb8
https://repozitorij.fer.unizg.hr/islandora/object/fer:3193/datastream/PDF
https://repozitorij.fer.unizg.hr/islandora/object/fer:3193/datastream/PDF