Cargando…
A Compact Convolutional Neural Network for Surface Defect Inspection
The advent of convolutional neural networks (CNNs) has accelerated the progress of computer vision from many aspects. However, the majority of the existing CNNs heavily rely on expensive GPUs (graphics processing units). to support large computations. Therefore, CNNs have not been widely used to ins...
Autores principales: | Huang, Yibin, Qiu, Congying, Wang, Xiaonan, Wang, Shijun, Yuan, Kui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180441/ https://www.ncbi.nlm.nih.gov/pubmed/32244764 http://dx.doi.org/10.3390/s20071974 |
Ejemplares similares
-
Inspecting Decorative Ceramic Defects by Fusing Convolutional Neural Network and Image Recognition
por: Jin, Kaiyan, et al.
Publicado: (2022) -
Deep Convolutional Neural Network Optimization for Defect Detection in Fabric Inspection
por: Ho, Chao-Ching, et al.
Publicado: (2021) -
Retracted: Inspecting Decorative Ceramic Defects by Fusing Convolutional Neural Network and Image Recognition
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
A Novel Defect Inspection System Using Convolutional Neural Network for MEMS Pressure Sensors
por: Deng, Mingxing, et al.
Publicado: (2022) -
Robust Powerline Equipment Inspection System Based on a Convolutional Neural Network
por: Siddiqui, Zahid Ali, et al.
Publicado: (2018)