Reconstruction Student with Attention for Student-Teacher Pyramid Matching

Understand

Anomaly detection and localization are important problems in computer vision.

• Recently, Convolutional Neural Network (CNN) has been used for visual inspection.
• In particular, the scarcity of anomalous samples increases the difficulty of this task, and unsupervised leaning based methods are attracting attention.
• We focus on Student-Teacher Feature Pyramid Matching (STPM) which can be trained from only normal images with small number of epochs.