The authors trained 234 deep learning models on the Kubernetes-based Nautilus cluster across three remote sensing tasks, totaling 4,040 GPU hours.
Improved search and detection of surface-to-air missile sites using spatial fusion of component object detections from deep neural networks,
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Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster
The authors trained 234 deep learning models on the Kubernetes-based Nautilus cluster across three remote sensing tasks, totaling 4,040 GPU hours.