6 citations · 6 across the 3 of their papers we have counts for
3 papers
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
Tillmann Rheude, Andreas Wirtz, Arjan Kuijper +1
Convolutional neural networks (CNNs) achieve prevailing results in segmentation tasks nowadays and represent the state-of-the-art for image-based analysis. However, the understandi…
End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation
Thomas Pöllabauer, Jiayin Li, Volker Knauthe +2
6D object pose estimation is the problem of identifying the position and orientation of an object relative to a chosen coordinate system, which is a core technology for modern XR a…
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams
Anton Winter, Nicolas Jourdan, Tristan Wirth +2
In safety-critical domains such as autonomous driving and medical diagnosis, the reliability of machine learning models is crucial. One significant challenge to reliability is conc…