Variation-Robust Deep Learning

One of the challenges of deploying deep neural networks in sensor platforms is the variations in the input images; structural noise (adversarial images), inherent random noise (image perturbation), input scene variability, and weight value errors. To enhance the robustness of deep learning inference to the variability, we are designing variation-robust deep learning techniques.