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    Deep-learning for automated diatom detection and identification for the ecological diagnosis of fresh-water environments 

    Faure-Giovagnoli, Pierre Thomas (Georgia Institute of Technology, 2020-07-29)
    Diatoms are a type of unicellular microalgae found in all aquatic environments. Their great diversity and ubiquity make these organisms recognized bio-indicators for monitoring the ecological status of watercourses, notably ...
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    Domain adaptation via data augmentation 

    Gastineau, Eric Luc Adrien (Georgia Institute of Technology, 2020-04-28)
    Deep learning (DL) models require large labeled datasets for training. Practitioners often need to adapt an existing DL model to a different domain. For instance, a practitioner in a company developing autonomous vehicles ...
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    Real time detection of traffic signs on mobile device 

    Six, Nicolas (Georgia Institute of Technology, 2019-12-09)
    In this work we propose a new approach to the object detection problem using Deep Neural Network, in the context of traffic sign detection. Our approach simplifies the detection head complexity by making the requirement ...

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    AuthorFaure-Giovagnoli, Pierre Thomas (1)Gastineau, Eric Luc Adrien (1)Six, Nicolas (1)Subject
    Deep learning (3)
    Machine learning (3)
    Object detection (3)
    Artificial dataset (1)Big data (1)Biology (1)Classification (1)Computer vision (1)Data augmentation (1)Data engineering (1)... View MoreDate Issued2020 (2)2019 (1)Has File(s)Yes (3)
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