AI, Computer Vision, Image Processing, Machine Learning.
model training. Checking for Distribution Differences The model then examined new images of details by comparing their feature distributions with the distribution learned from normal data during training. Finding Faults If the system saw a big enough difference from the normal patches, it flagged