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Search results for: robustness

  • Robustness of the Rotor-router Mechanism

    Publication

    - Year 2009

    W pracy rozważano model eksploracji grafu nieskierowanego przez pojedynczego agenta, w którym sterowanie agentem odbywa się zgodnie z zasadą ''rotor-router'' (inaczej: ''Propp machine''). Przeanalizowano czas stabilizacji agenta do trajektorii w postaci cyklu Eulera w przypadku wystąpienia zaburzeń w grafie: usunięcie krawędzi, dodanie krawędzi, lokalna zamiana portów

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  • Evaluating calibration and robustness of pedestrian detectors

    Publication

    - Year 2020

    In this work robustness and calibration of modern pedestrian detectors are evaluated. Pedestrian detection is a crucial perception com- ponent in autonomous driving and here we study its performance under different image corruptions. Furthermore, we provide analysis of classifi- cation calibration of pedestrian detectors and we show a positive effect of using style-transfer augmentation technique. Our analysis is aimed as a step...

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  • Evaluating Calibration and Robustness of Pedestrian Detectors

    Publication

    - Year 2020

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  • Empirical analyses of robustness of the square Msplit estimation

    Publication

    - Journal of Applied Geodesy - Year 2021

    The paper presents Msplit estimation as an alternative to methods in the class of robust M-estimation. The analysis conducted showed that Msplit estimation is highly efficient in the identification of observations encumbered by gross errors, especially those of small or moderate values. The classical methods of robust estimation provide then unsatisfactory results. Msplit estimation also shows high robustness to single gross errors...

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  • Robustness in Compressed Neural Networks for Object Detection

    Publication

    - Year 2021

    Model compression techniques allow to significantly reduce the computational cost associated with data processing by deep neural networks with only a minor decrease in average accuracy. Simultaneously, reducing the model size may have a large effect on noisy cases or objects belonging to less frequent classes. It is a crucial problem from the perspective of the models' safety, especially for object detection in the autonomous driving...

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