Spatially Adaptive Neural Networks for Computer Vision KU Leuven
Over the past decade, computer vision has seen remarkable progress due to the emergence of data-driven deep learning approaches. Convolutional neural networks (CNN) extract relevant features in an automated way by training on annotated data. As research advances, more complex architectures have more trainable parameters and require more computations. However, executing these models requires powerful hardware, which limits their applicability ...