Background Over the last years Deep Learning has shown to yield remarkable results when
compared to traditional computer vision algorithms, in a large variety of computer vision …

In the past years, the computer vision domain has been profoundly changed by the advent of
deep learning algorithms and data science. The defect detection problem is of outmost …

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

Object detection remains an active area of research in the field of computer vision, and
considerable advances and successes has been achieved in this area through the design of …

Object detection continues to play a significant part in computer vision theory, study and
practical application. Conventional object detection algorithms were primarily derived from …

Object detection-the computer vision task dealing with detecting instances of objects of a
certain class (eg,'car','plane', etc.) in images-attracted a lot of attention from the community …

In recent years, with the rapid development of deep learning, computer vision technology
based on convolutional neural network (CNN) is widely used in industrial fields. At present …

The surface defect detection (SDD) problem is one of the crucial techniques during
production process, so it has become a key research area to control the quality of industrial …

Object detection and recognition is an integral part of Computer Vision. It has a multitude of
applications ranging from character recognition to video analysis. Object detection now play …

Convolutional neural network (CNN) has turned to be the state of the art for object detection
task of computer vision. In this chapter, we have reviewed some popular state-of-the-art …