12 citations · 14 across the 3 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2021★ 12 cited
LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image
Moyun Liu, Youping Chen, Lei He +2
X-ray image plays an important role in manufacturing industry for quality assurance, because it can reflect the internal condition of weld region. However, the shape and scale of d…
cs.CV2021★ 2 cited
A Lightweight and Accurate Recognition Framework for Signs of X-ray Weld Images
Moyun Liu, Jingming Xie, Jing Hao +3
X-ray images are commonly used to ensure the security of devices in quality inspection industry. The recognition of signs printed on X-ray weld images plays an essential role in di…