Publikacje
Found 11 results
Filters: Autor is Mateusz Żarski [Clear All Filters]
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Submitted. dpVision: environment for multimodal images. SoftwareX (preprint available at SSRN).
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2024. Multi-Step Feature Fusion for Natural Disaster Damage Assessment on Satellite Images. IEEE Access.
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2023. A deep learning method for hard-hat-wearing detection based on head center localization. Bulletin of the Polish Academy of Sciences Technical Sciences. 71 (EA)(6)
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2023. The Effectiveness of World Models for Continual Reinforcement Learning. Conference on Lifelong Learning Agents.
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2022. Computer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset. IEEE Access. 10
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2022. An Efficient Computer Vision-Based Method for Estimation of Dynamic Displacements in Spatial Truss Structures. Workshop on Structural Health Monitoring.
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2021. Advances in applicable deep-learning based defect detection. 2nd Workshop on Engineering Optimization – WEO 2021. 
(377.77 KB)
(377.77 KB).
2021. Extracting crack characteristics from RGB-D images. 2nd Workshop on Engineering Optimization – WEO 2021. (283.77 KB)
(283.77 KB).
2021. Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices. Computer-Aided Civil And Infrastructure Engineering. 37(4)
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2021. KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection. SoftwareX. 16
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2021. The measurements of surface defect area with an RGB-D camera for a BIM-backed bridge inspection. Bulletin of the Polish Academy of Sciences: Technical Sciences. 69(3)
