Machine learning is seeping into every fabric in various practical domains such as autonomous driving, wearable computing, and smart buildings. However, in the actual development and integration, especially when the learning-based components are frequently included as components of large complex systems where the physical instances can be included as interactable...
With the rapid advancement of machine learning techniques (in particular deep neural networks), computer vision applications have shown great promises in a variety of domains for intelligent cyber-physical systems (CPSs), such as autonomous driving, medical imaging, and vision-based robotic systems. However, while many vision applications provide great on-paper performance, their...