An End-to-end Deep Learning Framework for Automated Woven Fabric Pattern Recognition using UNet, GAN, and CNN
- DOI
- 10.3791/69632
- Published
- 2026-04-03
- Container
- Journal of Visualized Experiments
- Publisher
- MyJove Corporation
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3791/69632,
title = {An End-to-end Deep Learning Framework for Automated Woven Fabric Pattern Recognition using UNet, GAN, and CNN},
author = {Lin Peng and Jinghao Wang and Qian Zhang},
year = {2026},
journal = {Journal of Visualized Experiments},
doi = {10.3791/69632},
url = {https://doi.org/10.3791/69632}
}RIS
TY - JOUR TI - An End-to-end Deep Learning Framework for Automated Woven Fabric Pattern Recognition using UNet, GAN, and CNN AU - Lin Peng AU - Jinghao Wang AU - Qian Zhang PY - 2026 JO - Journal of Visualized Experiments DO - 10.3791/69632 UR - https://doi.org/10.3791/69632 ER -
APA
Peng, L., Wang, J., & Zhang, Q. (2026). An End-to-end Deep Learning Framework for Automated Woven Fabric Pattern Recognition using UNet, GAN, and CNN. Journal of Visualized Experiments. https://doi.org/10.3791/69632
Source records
- crossref · retrieved 2026-09-26T15:06:10.368Z