no code implementations • 28 Mar 2022 • Yung-Chen Sun, Isaac D. Gerg, Vishal Monga
IDUS is an unsupervised learning framework that can be divided into four main steps: 1) A deep network estimates class assignments.
no code implementations • 30 Jul 2021 • Yung-Chen Sun, Isaac D. Gerg, Vishal Monga
Our results show that the performance of our proposed method is considerably better than current state-of-the-art methods in SAS image segmentation.
no code implementations • 18 Mar 2021 • Isaac D. Gerg, Vishal Monga
To improve convergence, a hand-crafted weighting function to remove "bad" areas of the image is sometimes applied to the image-under-test before the optimization procedure.
no code implementations • 14 Jan 2021 • Isaac D. Gerg, Daniel C. Brown, Stephen G. Wagner, Daniel Cook, Brian N. O'Donnell, Thomas Benson, Thomas C. Montgomery
Finally, we measure ASASIN's performance on a variety of GPUs and create a model capable of predicting performance.
no code implementations • 26 Oct 2020 • Isaac D. Gerg, Vishal Monga
Deep learning has been recently shown to improve performance in the domain of synthetic aperture sonar (SAS) image classification.