FABLE : Fabric Anomaly Detection Automation Process
Author:
Affiliation:
1. University of technology of Troyes,Troyes,France
2. AQUILAE,Troyes,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10151847/10152298/10152345.pdf?arnumber=10152345
Reference26 articles.
1. Omni-frequency Channel-selection Repre-sentations for Unsupervised Anomaly Detection;liang;arXiv 2203 00259,2022
2. G2D: Generate to Detect Anomaly
3. ImageNet classification with deep convolutional neural networks
4. f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
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1. A Systematic Review of Textile Anomaly Detection Systems;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24
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