Search Results for author:
Found 2 papers, 0 papers with code
Real-World Scenario Mining for the Assessment of Automated Vehicles
One of the benefits of our approach is that the tags can be used to identify characteristics of a scenario that are shared among different type of scenarios.
Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation
Under the assumption that features from pre-trained deep neural networks are transferable across related domains, domain adaptation reduces to aligning source and target domain at class prediction uncertainty level.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
