In the life cycle of highly automated systems operating in an open and
d...
We present a human-in-the-loop dashboard tailored to diagnosing potentia...
LU-Net is a simple and fast architecture for invertible neural networks ...
In this work we present two video test data sets for the novel computer
...
Deep neural networks (DNN) have made impressive progress in the
interpre...
Bringing deep neural networks (DNNs) into safety critical applications s...
Semantic segmentation is a crucial component for perception in automated...
State-of-the-art semantic or instance segmentation deep neural networks
...
Deep neural networks (DNNs) for the semantic segmentation of images are
...
In semantic segmentation datasets, classes of high importance are oftent...
In recent years, deep learning methods have outperformed other methods i...
Neural networks for semantic segmentation can be seen as statistical mod...
As part of autonomous car driving systems, semantic segmentation is an
e...