Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …

Over the last few decades, detecting surface defects has attracted significant attention as a
challenging task. There are specific classes of problems that can be solved using traditional …

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 …

Wire and arc additive manufacturing (WAAM) is an emerging manufacturing technology that
is widely used in different manufacturing industries. To achieve fully automated production …

A complete defect detection task aims to achieve the specific class and precise location of
each defect in an image, which makes it still challenging for applying this task in practice …

With the rapid development of smart manufacturing, data-driven fault diagnosis has attracted
increasing attentions. As one of the most popular methods applied in fault diagnosis, deep …

Automated computer-vision-based defect detection has received much attention with the
increasing surface quality assurance demands for the industrial manufacturing of flat steels …

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 …

Smart manufacturing refers to using advanced data analytics to complement physical
science for improving system performance and decision making. With the widespread …

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 …