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Jun, 2024
利用通道洗牌的深度学习加速金属表面缺陷检测
Faster Metallic Surface Defect Detection Using Deep Learning with Channel Shuffling
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Siddiqui Muhammad Yasir, Hyunsik Ahn
TL;DR
基于YOLOv5的改进型缺陷检测模型在钢表面上检测小且复杂的缺陷目标,在精度和检测时间方面表现优于其他可比较的模型。
Abstract
deep learning
has been constantly improving in recent years and a significant number of researchers have devoted themselves to the research of
defect detection
algorithms. Detection and recognition of small and c
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