基于深度卷积神经网络与视觉显著性的织物缺陷检测方法.

基于深度卷积神经网络与视觉显著性的织物缺陷检测方法

Номер патента: CN107833220B
Опубликовано: 11-06-2021
Автор(ы): 吴晨辉, 周亚琴, 李庆武, 邢俊, 马云鹏
Принадлежит: CHANGZHOU CAMPUS OF HOHAI UNIVERSITY
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Рисунок 1. Взаимосвязь патентов (ближайшие 20).

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Method and apparatus for low-dose x-ray computed tomography image processing based on efficient unsupervised learning using invertible neural network

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moving object detection method and system based on multiple sensors on same platform

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OSD automatic detection method and device based on image content

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Task completion based on speech analysis

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Configuration of a neural network for a radio access network (ran) node of a wireless network

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Configuration of a neural network for a radio access network (ran) node of a wireless network

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Sea surface video compression sensing method based on 5G transmission and improved residual error neural network

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Intrusion detection method and device based on Modbus data packet recombination

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