Semi-supervised pipeline anomaly detection algorithm based on memory items and metric learning
Author:
Affiliation:
1. PipeChina North Pipeline Company, Langfang, China
2. PipeChina Institute of Science and Technology, Langfang, China
3. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
Funder
Science and Technology Research Project of Pipe China
Publisher
Informa UK Limited
Subject
General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/10589759.2023.2169285
Reference28 articles.
1. Video anomaly detection and localisation based on the sparsity and reconstruction error of auto‐encoder
2. Automatic anomaly detection from X-ray images based on autoencoders;Presenti A;Case Stud NondestrTest Eval,2022
3. Defect Segmentation of Hot-rolled Steel Strip Surface by using Convolutional Auto-Encoder and Conventional Image processing
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