2 citations · 2 across the 2 of their papers we have counts for
4 papers
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Pietro Buzzega, Matteo Boschini, Angelo Porrello +1
In Continual Learning, a Neural Network is trained on a stream of data whose distribution shifts over time. Under these assumptions, it is especially challenging to improve on clas…
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…
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega, Matteo Boschini, Angelo Porrello +2
Continual Learning has inspired a plethora of approaches and evaluation settings; however, the majority of them overlooks the properties of a practical scenario, where the data str…
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…