2 citations · 2 across the 2 of their papers we have counts for
3 papers
Few-Shot Unsupervised Continual Learning through Meta-Examples
Alessia Bertugli, Stefano Vincenzi, Simone Calderara +1
In real-world applications, data do not reflect the ones commonly used for neural networks training, since they are usually few, unlabeled and can be available as a stream. Hence m…
The color out of space: learning self-supervised representations for Earth Observation imagery
Stefano Vincenzi, Angelo Porrello, Pietro Buzzega +6
The recent growth in the number of satellite images fosters the development of effective deep-learning techniques for Remote Sensing (RS). However, their full potential is untapped…
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs
Stefano Vincenzi, Angelo Porrello, Pietro Buzzega +6
Nowadays, Vector-Borne Diseases (VBDs) raise a severe threat for public health, accounting for a considerable amount of human illnesses. Recently, several surveillance plans have b…