Zhong Shao

Task-Aware Novelty Detection for Visual-based Deep Learning in Autonomous Systems

Deep-learning driven safety-critical autonomous systems, such as self-driving cars, must be able to detect situations where its trained model is not able to make a trustworthy prediction. This ability to determine the novelty of a new input with respect to a trained model is critical for such system…