Deep learning for anomaly detection in computational imaging

• Main Author: Du, Xinglin
• Other Authors: Wen Bihan
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Pattern recognition; Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/154666
• Institution: Nanyang Technological University

One of the applications of deep learning is anomaly detection. In this thesis, supervised and semi-supervised deep learning anomaly detection are compared. For supervised method, three methods are used: multilayer perceptron, convolutional neural network and transfer learning. Multilayer perceptron...