3 papers
cs.LG2026
Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders
Nathanaël Jacquier, Maria Vakalopoulou, Mahdi S. Hosseini
Sparse autoencoders (SAEs) have become a leading tool for interpreting the representations of vision foundation models, decomposing their polysemantic activations into a larger set…
cs.CV2026
A High-Level Survey of Optical Remote Sensing
Panagiotis Koletsis, Vasilis Efthymiou, Maria Vakalopoulou +3
In recent years, significant advances in computer vision have also propelled progress in remote sensing. Concurrently, the use of drones has expanded, with many organizations incor…
cs.CV2019
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data
Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou +2
\begin{abstract} The advent of multitemporal high resolution data, like the Copernicus Sentinel-2, has enhanced significantly the potential of monitoring the earth's surface and en…