Many problems in computer vision were saturating on their accuracy before a decade.
However, with the rise of deep learning techniques, the accuracy of these problems …

In latest years, deep neural networks were observed to be the most influential among all
innovations in the computer vision field, generating remarkable performance on image …

Object detection is one of the most basic and central task in computer vision. Its task is to find
all the interested objects in the image, and determine the category and location of the …

In the field of computer vision, object detection is the fundamental most widely used and
challenging problem. Last several decades, great effort has been made by computer …

Detecting objects in images is an extremely important step in many image and video
analysis applications. Object detection is considered as one of the main challenges in the …

The ubiquitous and wide applications like scene understanding, video surveillance, robotics,
and self-driving systems triggered vast research in the domain of computer vision in the most …

Object detection, as one of the three main tasks of computer vision, is of great importance for
the development of artificial intelligence in the future. The rapid advancement of …

Computer vision is excelling in the field of segmentation, feature extraction, and object
detection from image data. The object detection is gaining immense interest from a different …

Object detection and recognition are key components for most computer vision systems and
determine the performance of the many applications, such as tracking, retrieval, video …

The main tasks of computer vision are image classification/location, target detection, target
tracking, semantic segmentation and instance segmentation. The task of target detection is …