Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …

Automatically detecting surface defects from images is an essential capability in
manufacturing applications. Traditional image processing techniques are useful in solving a …

The class activation maps are generated from the final convolutional layer of CNN. They can
highlight discriminative object regions for the class of interest. These discovered object …

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 …

在半导体, PCB, 汽车装配, 液晶屏, 3C, 光伏电池, 纺织等行业中, 产品外观与产品性能有着千丝
万缕的联系. 表面缺陷检测是阻止残次品流入市场的重要手段. 利用机器视觉的技术进行检测 …

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 …

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 …

In recent years, more and more scholars devoted themselves to the research of the target
detection algorithm due to the continuous development of deep learning. Among them, the …

Surface defect detection plays an increasing role in intelligent manufacturing and product
life-cycle management, such as quality inspection, process monitoring, and preventive …

Deep learning-based algorithms have been widely employed to build reliable steel surface
defect detection systems, which are important for manufacturing. The performance of deep …