The detection of building changes (hereafter 'building change detection', BCD) is a critical
issue in remote sensing analysis. Accurate BCD faces challenges, such as complex scenes …

Deep Learning (DL) has demonstrated remarkable success in various Remote Sensing
Image (RSI) analysis applications. However, due to disparities in data distributions, DL …

The categorization of satellite images is a discipline within the domains of remote sensing
and computer vision. It is the process of assigning pixels or areas within satellite imagery to …

This thesis explores adapting self-supervised representation learning to visual domains
beyond natural scenes, focusing on medical imaging. The research addresses the central …

This work investigates the robustness of learned representations of self-supervised learning
approaches, focusing on distribution shifts in computer vision. Joint embedding architecture …

The proposed master's thesis investigates the adaptability and efficacy of self-supervised
representation learning (SSL) in medical image analysis, focusing on Mammographic …