3 papers
cs.CV2025
Differential Morphological Profile Neural Networks for Semantic Segmentation
David Huangal, J. Alex Hurt
Semantic segmentation of overhead remote sensing imagery enables applications in mapping, urban planning, and disaster response. State-of-the-art segmentation networks are typicall…
cs.CV2025
Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets
J. Alex Hurt, Trevor M. Bajkowski, Grant J. Scott +1
In 2012, AlexNet established deep convolutional neural networks (DCNNs) as the state-of-the-art in CV, as these networks soon led in visual tasks for many domains, including remote…
cs.LG2024
Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster
J. Alex Hurt, Anes Ouadou, Mariam Alshehri +1
Throughout the scientific computing space, deep learning algorithms have shown excellent performance in a wide range of applications. As these deep neural networks (DNNs) continue…