Search Results for author:
Found 3 papers, 0 papers with code
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
Safety measures need to be systemically investigated to what extent they evaluate the intended performance of Deep Neural Networks (DNNs) for critical applications.
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems
As the NN is trained on well annotated images, in this paper we study the variations of confidence levels from the NN when tested on hand-crafted occlusion added to a test set.
Towards Structured Evaluation of Deep Neural Network Supervisors
Deep Neural Networks (DNN) have improved the quality of several non-safety related products in the past years.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
