Master
2024/2025
Project seminar "Deep learning for computer vision"
Type:
Compulsory course (Artificial Intelligence and Computer Vision)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Department of Applied Mathematics and Informatics
When:
1 year, 4 module
Mode of studies:
distance learning
Online hours:
90
Open to:
students of one campus
Master’s programme:
Искусственный интеллект и компьютерное зрение
Language:
English
ECTS credits:
9
Contact hours:
6
Course Syllabus
Abstract
This course covers basics of Deep Learning approaches applied to the popular Computer Vision tasks. The aim of the course is to highlight how the modern 2D Computer Vision works and how the area evolved to this. Students will learn the main concepts of the modern 2D Computer Vision, how to master some popular applied tasks and try by themselves. Every week, the students will learn a standalone chapter of Computer Vision starting from the Image Classification approaches, through Object Detection, Image Segmentation and ending with some cutting-edge and real-life approaches. The students also will introduced to the popular datasets for each task along with the common quality estimation procedures and open source solutions.