A lightweight model for digital printing fabric defect detection based on YOLOX
Online detection of digital printing defects is a necessary but challenging topic. The performance of the current detection methods is still not ideal for the diversified patterns of digital printing fabric defects and the realtime requirements of online detection. In this paper, we proposed a light...
Main Authors: | Zebin Su, Hao Zhang, Pengfei Li, Huanhuan Zhang, Yanjun Lu |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2023-10-01
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Series: | Journal of Engineered Fibers and Fabrics |
Online Access: | https://doi.org/10.1177/15589250231208702 |
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