Reinforcement Learning in cv4sensorhub – running

cv4sensorhub is a framework for interdisciplinary image processing algorithms. This system applies reinforcement learning-based algorithms as well. Modern reinforcement learning algorithms uses deep neural networks in the background which requires computationally demanding training.

The goal of our first algorithm is to support semi-automatic image segmentation. The "intelligent drawing tools" can adopt to the characteristics of the given image and this can significantly reduce the number of the required user interventions.

Project owner:
Budai Ádám (Automatizálási és Alkalmazott Informatikai Tanszék)
Web address:
Automatizálási és Alkalmazott Informatikai Tanszék (VIK-AAIT)

In loose cooperation with:

ELTE - Department of Geophysics and Space Science

BME - Department of Construction Materials and Technologies