Web: http://arxiv.org/abs/2206.10830

June 23, 2022, 1:12 a.m. | Haiming Yao, Wenyong Yu, Xue Wang

cs.CV updates on arXiv.org arxiv.org

Recent advances in the industrial inspection of textured surfaces-in the form
of visual inspection-have made such inspections possible for efficient,
flexible manufacturing systems. We propose an unsupervised feature memory
rearrangement network (FMR-Net) to accurately detect various textural defects
simultaneously. Consistent with mainstream methods, we adopt the idea of
background reconstruction; however, we innovatively utilize artificial
synthetic defects to enable the model to recognize anomalies, while traditional
wisdom relies only on defect-free samples. First, we employ an encoding module
to obtain …

arxiv cv defects edge feature intelligent manufacturing memory network

More from arxiv.org / cs.CV updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY