1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Adventures with Grace Hopper AI Super Chip and the National Research Platform
J. Alex Hurt, Grant J. Scott, Derek Weitzel +1
The National Science Foundation (NSF) funded National Research Platform (NRP) is a hyper-converged cluster of nationally and globally interconnected heterogeneous computing resourc…