Machine learning and deep learning based predictive quality in manufacturing: a systematic review
With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …
data from manufacturing processes and quality measurements, there is enormous potential …
Using deep learning to detect defects in manufacturing: a comprehensive survey and current challenges
J Yang, S Li, Z Wang, H Dong, J Wang, S Tang - Materials, 2020 - mdpi.com
The detection of product defects is essential in quality control in manufacturing. This study
surveys stateoftheart deep-learning methods in defect detection. First, we classify the defects …
surveys stateoftheart deep-learning methods in defect detection. First, we classify the defects …
基于深度学习的表面缺陷检测方法综述
陶显， 侯伟， 徐德 - 自动化学报, 2021 - aas.net.cn
近年来, 基于深度学习的表面缺陷检测技术广泛应用在各种工业场景中. 本文对近年来基于深度
学习的表面缺陷检测方法进行了梳理, 根据数据标签的不同将其分为全监督学习模型方法 …
学习的表面缺陷检测方法进行了梳理, 根据数据标签的不同将其分为全监督学习模型方法 …
Concealed object detection
We present the first systematic study on concealed object detection (COD), which aims to
identify objects that are visually embedded in their background. The high intrinsic similarities …
identify objects that are visually embedded in their background. The high intrinsic similarities …
Surface defect detection methods for industrial products: A review
Y Chen, Y Ding, F Zhao, E Zhang, Z Wu, L Shao - Applied Sciences, 2021 - mdpi.com
The comprehensive intelligent development of the manufacturing industry puts forward new
requirements for the quality inspection of industrial products. This paper summarizes the …
requirements for the quality inspection of industrial products. This paper summarizes the …
Development of a YOLO-V3-based model for detecting defects on steel strip surface
X Kou, S Liu, K Cheng, Y Qian - Measurement, 2021 - Elsevier
During steel strip production, mechanical forces and environmental factors cause surface
defects of the steel strip. Therefore, detection of such defects is key to the production of high …
defects of the steel strip. Therefore, detection of such defects is key to the production of high …
Triplet-graph reasoning network for few-shot metal generic surface defect segmentation
Metal surface defect segmentation can play an important role in dealing with the issue of
quality control during the production and manufacturing stages. There are still two major …
quality control during the production and manufacturing stages. There are still two major …
PGA-Net: Pyramid feature fusion and global context attention network for automated surface defect detection
Surface defect detection is a critical task in industrial production process. Nowadays, there
are lots of detection methods based on computer vision and have been successfully applied …
are lots of detection methods based on computer vision and have been successfully applied …
Efficient detection model of steel strip surface defects based on YOLO-V7
Y Wang, H Wang, Z Xin - Ieee Access, 2022 - ieeexplore.ieee.org
During the production process of steel, there are often some defects on the surface of the
product. Therefore, detecting defects is the key to produce high-quality products. At the same …
product. Therefore, detecting defects is the key to produce high-quality products. At the same …
Edge-guided recurrent positioning network for salient object detection in optical remote sensing images
Optical remote sensing images (RSIs) have been widely used in many applications, and one
of the interesting issues about optical RSIs is the salient object detection (SOD). However …
of the interesting issues about optical RSIs is the salient object detection (SOD). However …