Matthew Leotta

Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks

Self-supervised learning aims to learn image feature representations without the usage of manually annotated labels. It is often used as a precursor step to obtain useful initial network weights which contribute to faster convergence and superior performance of downstream tasks. While self-supervisi…