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…