Mateusz Zarski

According to our database, Mateusz Zarski authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Beyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning.

Katarzyna Filus, Mateusz Zarski

CoRR, May, 2025

Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities.

Katarzyna Filus, Michal Romaszewski, Mateusz Zarski

CoRR, April, 2025

dpVision: Environment for multimodal images.

Dariusz Pojda, Mateusz Zarski, Agnieszka Anna Tomaka, Leszek Luchowski

SoftwareX, 2025

Balancing Performance and Scalability of Demand Forecasting ML Models.

Mateusz Zarski, Slawomir Nowaczyk

Proceedings of the Advances in Intelligent Data Analysis XXIII, 2025

2024

Multi-Step Feature Fusion for Natural Disaster Damage Assessment on Satellite Images.

Mateusz Zarski, Jaroslaw Adam Miszczak

IEEE Access, 2024

2023

The Effectiveness of World Models for Continual Reinforcement Learning.

Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Finicky transfer learning - A method of pruning convolutional neural networks for cracks classification on edge devices.

Mateusz Zarski, Bartosz Wójcik, Kamil Ksiazek, Jaroslaw Adam Miszczak

Comput. Aided Civ. Infrastructure Eng., 2022

Computer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset.

Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak, Bartlomiej Blachowski, Mariusz Ostrowski

IEEE Access, 2022

2021

KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection.

Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak

SoftwareX, 2021

Hard hat wearing detection based on head keypoint localization.

Bartosz Wójcik, Mateusz Zarski, Kamil Ksiazek, Jaroslaw Adam Miszczak, Miroslaw J. Skibniewski

CoRR, 2021

2020

Transfer learning for leveraging computer vision in infrastructure maintenance.

Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak

CoRR, 2020