24 citations · 53 across the 11 of their papers we have counts for
3 papers · 1 filter
CoReS: Compatible Representations via Stationarity
Niccolo Biondi, Federico Pernici, Matteo Bruni +1
Compatible features enable the direct comparison of old and new learned features allowing to use them interchangeably over time. In visual search systems, this eliminates the need…
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…
Regular Polytope Networks
Federico Pernici, Matteo Bruni, Claudio Baecchi +1
Neural networks are widely used as a model for classification in a large variety of tasks. Typically, a learnable transformation (i.e. the classifier) is placed at the end of such…