Abstract: The main challenge for Few-Shot Fine-Grained (FSFG) image classification is to learn discriminative feature representations with few labeled samples. In response to this challenge, ...

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.

Abstract: Class imbalance is a common challenge in classification problems in machine learning, where automated systems often struggle due to uneven class distributions. In medical imaging, class ...