41 citations · 135 across the 21 of their papers we have counts for
4 papers · 1 filter
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
Kevin Rösch, Florian Heidecker, Julian Truetsch +5
Trajectory data analysis is an essential component for highly automated driving. Complex models developed with these data predict other road users' movement and behavior patterns.…
A Review of Uncertainty Calibration in Pretrained Object Detectors
Denis Huseljic, Marek Herde, Mehmet Muejde +1
In the field of deep learning based computer vision, the development of deep object detection has led to unique paradigms (e.g., two-stage or set-based) and architectures (e.g., Fa…
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast
Jens Schreiber, Stephan Vogt, Bernhard Sick
Task embeddings in multi-layer perceptrons for multi-task learning and inductive transfer learning in renewable power forecasts have recently been introduced. In many cases, this a…
Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning
Yujiang He, Zhixin Huang, Bernhard Sick
Continual learning can enable neural networks to evolve by learning new tasks sequentially in task-changing scenarios. However, two general and related challenges should be overcom…