Ruibo Shang and coworkers introduce a Bayesian convolutional neural network (BCNN) to estimate the uncertainty of deep learning predictions in single-pixel imaging. The approach is a reliable tool where the confidence of image prediction needs to be approximated, such as simulated training data and hardware adjustments.
- Ruibo Shang
- Mikaela A. O’Brien
- Geoffrey P. Luke
