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Wyniki wyszukiwania dla: training , adaptation models , uncertainty , image color analysis , semantics , estimation , predictive models
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Wyniki wyszukiwania dla: training , adaptation models , uncertainty , image color analysis , semantics , estimation , predictive models

  • Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift

    Publikacja

    - Rok 2021

    While recent computer vision algorithms achieve impressive performance on many benchmarks, they lack robustness - presented with an image from a different distribution, (e.g. weather or lighting conditions not considered during training), they may produce an erroneous prediction. Therefore, it is desired that such a model will be able to reliably predict its confidence measure. In this work, uncertainty estimation for the task...

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  • Vident-synth: a synthetic intra-oral video dataset for optical flow estimation

    Dane Badawcze
    embargo

    We introduce Vident-synth, a large dataset of synthetic dental videos with corresponding ground truth forward and backward optical flows and occlusion masks. It can be used for:

  • Wiktoria Wojnicz dr hab. inż.

    Osoby

    Wydział Inżynierii Mechanicznej i Okrętownictwa, Zakład Mechaniki Stosowanej i Biomechaniki, Instytut Mechaniki i Konstrukcji Maszyn

    DSc in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2019  PhD in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2009 (with distinction)   Publikacje z listy MNiSW (2009 - ) Wojnicz W., Wittbrodt E., Analysis of muscles' behaviour. Part I. The computational model of muscle. Acta of Bioengineering and Biomechanics, Vol. 11, No.4, 2009, p. 15-21 Wojnicz W., Wittbrodt E., Analysis...

  • Błażej Kochański dr

    Osoby

    Katedra Statystyki i Ekonometrii

    Błażej Kochański jest adiunktem w Katedrze Statystyki i Ekonometrii na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej, ekspertem ds. ryzyka bankowego. Pracował dla banków w Polsce i Europie jako specjalista ds. ryzyka, kierownik ds. planowania i analiz, członek zarządu ds. ryzyka, członek rady nadzorczej i konsultant ds. zarządzania. Zbudował liczne modele predykcyjne wspomagające zarządzanie ryzykiem, z sukcesem zarządzał...

  • LDRAW based renders of LEGO bricks moving on a conveyor belt with extracted models

    Dane Badawcze
    wersja 3.0 open access - seria: LEGO

    The set contains renders of LEGO bricks moving on a white conveyor belt. The images were prepared for training neural network for recognition of LEGO bricks. For each brick starting position, alignment and color was selected (simulating the brick falling down on the conveyour belt) and than 10 images was created while the brick was moved across the...

  • LDRAW based renders of LEGO bricks moving on a conveyor belt

    Dane Badawcze
    open access
    • T. Boiński
    • K. Zawora
    • S. Zaraziński
    • B. Śledź
    • B. Łobacz
    - seria: LEGO

    The set contains renders of 5237 LEGO bricks moving on a white conveyor belt. The images were prepared for training neural network for recognition of LEGO bricks. For each brick starting position, alignment and color was selected (simulating the brick falling down on the conveyour belt) and than 10 images was created while the brick was moved across...

  • Bees Detection on Images: Study of Different Color Models for Neural Networks

    Publikacja

    - Rok 2019

    This paper presents an approach to bee detection in video streams using a neural network classifier. We describe the motivation for our research and the methodology of data acquisition. The main contribution to this work is a comparison of different color models used as an input format for a feedforward convolutional architecture applied to bee detection. The detection process has is based on a neural binary classifier that classifies...

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  • Towards bees detection on images: study of different color models for neural networks

    Publikacja

    - Rok 2019

    This paper presents an approach to bee detection in videostreams using a neural network classifier. We describe the motivationfor our research and the methodology of data acquisition. The maincontribution to this work is a comparison of different color models usedas an input format for a feedforward convolutional architecture appliedto bee detection. The detection process has is based on a neural...

  • Training of Deep Learning Models Using Synthetic Datasets

    Publikacja

    - Rok 2022

    In order to solve increasingly complex problems, the complexity of Deep Neural Networks also needs to be constantly increased, and therefore training such networks requires more and more data. Unfortunately, obtaining such massive real world training data to optimize neural networks parameters is a challenging and time-consuming task. To solve this problem, we propose an easy-touse and general approach to training deep learning...

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  • Models in spatial development

    Kursy Online
    • R. Skrzypczyński