5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.CV2022★ 5 cited
CL2R: Compatible Lifelong Learning Representations
Niccolo Biondi, Federico Pernici, Matteo Bruni +2
In this paper, we propose a method to partially mimic natural intelligence for the problem of lifelong learning representations that are compatible. We take the perspective of a le…
cs.CV2021
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai, Federico Pernici, Francesco Turchini +1
In this paper we exploit Semi-Supervised Learning (SSL) to increase the amount of training data to improve the performance of Fine-Grained Visual Categorization (FGVC). This proble…