Alexandre Mayer

Achieving Rotational Invariance with Bessel-Convolutional Neural Networks

For many applications in image analysis, learning models that are invariant to translations and rotations is paramount. This is the case, for example, in medical imaging where the objects of interest can appear at arbitrary positions, with arbitrary orientations. As of today, Convolutional Neural Ne…