I came across the application of a conditional random field (CRF) to the output from a convolutional neural network (CNN) for image segmentation. The additional CRF step seems to be a common technique for image segmentation and as a post-processing step in CNNs for segmentation.
I began looking into how they work which lead me to a course on probabilistic graphical models by Daphne Koller on Coursera.
I found this course to be useful, but very general.
My question is: what is a good text or course to study the construction and training of CRFs, preferably one that starts with a gentle introduction assuming no prior background?