19 citations · 43 across the 4 of their papers we have counts for
5 papers
Multi-step feature fusion for natural disaster damage assessment on satellite images
Mateusz Żarski, Jarosław Adam Miszczak
Quick and accurate assessment of the damage state of buildings after natural disasters is crucial for undertaking properly targeted rescue and subsequent recovery operations, which…
The Effectiveness of World Models for Continual Reinforcement Learning
Samuel Kessler, Mateusz Ostaszewski, Michał Bortkiewicz +5
World models power some of the most efficient reinforcement learning algorithms. In this work, we showcase that they can be harnessed for continual learning - a situation when the…
Computer Vision based inspection on post-earthquake with UAV synthetic dataset
Mateusz Żarski, Bartosz Wójcik, Jarosław A. Miszczak +2
The area affected by the earthquake is vast and often difficult to entirely cover, and the earthquake itself is a sudden event that causes multiple defects simultaneously, that can…
Hard hat wearing detection based on head keypoint localization
Bartosz Wójcik, Mateusz Żarski, Kamil Książek +2
In recent years, a lot of attention is paid to deep learning methods in the context of vision-based construction site safety systems, especially regarding personal protective equip…
KrakN: Transfer Learning framework for thin crack detection in infrastructure maintenance
Mateusz Żarski, Bartosz Wójcik, Jarosław Adam Miszczak
Monitoring the technical condition of infrastructure is a crucial element to its maintenance. Currently applied methods are outdated, labour-intensive and inaccurate. At the same t…