In this article, we exploit Semi-Supervised Learning ( SSL ) to increase the amount of training data improve performance Fine-Grained Visual Categorization FGVC ). This problem has not been investigated in past spite prohibitive annotation costs that requires. Our approach leverages unlabeled with an adversarial optimization strategy which internal features representation is obtained a second-o...
