Abstract: One effective approach for solving few-shot classification is learning deep representations that measure the similarity between query images and a few support images of specific categories.

Abstract: Capsule networks (CapsNet) are a pioneering architecture that can encode image features into vectors rather than scalars, addressing the limitations of traditional Convolutional Neural ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...