no code implementations • 29 Jan 2019 • Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov
We propose a new layer in Convolutional Neural Networks (CNNs) to increase their robustness to several types of noise perturbations of the input images.
no code implementations • 27 May 2015 • Ruben Gomez-Ojeda, Manuel Lopez-Antequera, Nicolai Petkov, Javier Gonzalez-Jimenez
In order for the network to learn the desired invariances, we train it with triplets of images selected from datasets which present a challenging variability in visual appearance.