Unsupervised fabric defect detection algorithm based on vector quantization and feature distance
Fabric defect detection is an indispensable step in textile fabric production, and many deep-learning-based methods have been proposed. However, existing supervised methods are limited by the lack of annotated datasets, and unsupervised anomaly detection methods still fail to meet the requirements o...
Uložené v:
| Vydané v: | Textile research journal |
|---|---|
| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
05.06.2025
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| ISSN: | 0040-5175, 1746-7748 |
| On-line prístup: | Získať plný text |
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