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Smart grasping of known objects
(2020)
Smart grasping means that a robot can automatically decide which object and how an object can be grasped. Firstly, a neural network should find the objects and get a 2D bounding box. The convolution neural network is used ...
Instance segmentation of Ladoga ringed seals
(2020)
The wildlife photo-identification is an important issue today since it allows to identify and to track animals. It helps scientists to monitor the endangered species, although it is difficult to explore all the image ...
Improving the performance of Bayesian deep model training for artery-vein segmentation
(2020)
Retinal images are an important tool for diagnosis of ocular diseases. Automating the process of screening the retinal images would allow wider screening and make diagnosing of patients’ swifter. The possibility of performing ...
Segmenting knots in X-ray CT scans of logs
(2023)
The main objective of this thesis is to solve the problem of segmenting wood knots within and on the surface of wood logs by using three-dimensional (3-D) image data of wood logs obtained from X-ray Computerized Tomography ...
Face anti-spoofing by using diffusion model
(2024)
This thesis explores the potential of diffusion models for improving face anti-spoofing (FAS) techniques. Due to the increasing usage of facial recognition systems in various domains, such as smartphone unlocking, airport ...