Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Will LeVine, Benjamin Pikus, Jacob Phillips +3
As deep neural networks become adopted in high-stakes domains, it is crucial to identify when inference inputs are Out-of-Distribution (OOD) so that users can be alerted of likely…
cs.CV2018
ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans
Felix Lau, Tom Hendriks, Jesse Lieman-Sifry +3
Medical images with specific pathologies are scarce, but a large amount of data is usually required for a deep convolutional neural network (DCNN) to achieve good accuracy. We cons…