Resource-Constrained Training of Deep Neural Networks for Industrial Computer Vision Applications KU Leuven
Deep neural networks have demonstrated exceptional performance in various computer vision tasks such as classification, detection, and segmentation. However, training these networks remains challenging, particularly in resource-constrained industrial settings.
A major obstacle lies in the computational and memory demands of training deep neural networks, which pose significant constraints in low-powered embedded systems used in ...