Auflistung nach Schlagwort "Data augmentation"

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  • COCOA: COrrelation coefficient-aware data augmentation 
    Esmailoghli, Mahdi; Quiané-Ruiz, Jorge-Arnulfo; Abedjan, Ziawasch (Konstanz, Germany : OpenProceedings.org, University of Konstanz, University Library, 2021)
    Calculating correlation coefficients is one of the most used measures in data science. Although linear correlations are fast and easy to calculate, they lack robustness and effectiveness in the existence of non-linear ...
  • Deep-learning-based instrument detection for intra-operative robotic assistance 
    Badilla-Solórzano, Jorge; Spindeldreier, Svenja; Ihler, Sontje; Gellrich, Nils-Claudius; Spalthoff, Simon (Heidelberg [u.a.] : Springer, 2022)
    Purpose: Robotic scrub nurses have the potential to become an attractive solution for the operating room. Surgical instrument detection is a fundamental task for these systems, which is the focus of this work. We address ...
  • Detection of invasive species in Wetlands: Practical dl with heavily imbalanced data 
    Cabezas, Mariano; Kentsch, Sarah; Tomhave, Luca; Gross, Jens; Caceres, Maximo Larry Lopez; Diez, Yago (Basel : MDPI AG, 2020)
    Deep Learning (DL) has become popular due to its ease of use and accuracy, with Transfer Learning (TL) effectively reducing the number of images needed to solve environmental problems. However, this approach has some ...