Object detection in real images is a challenging problem in computer vision. Despite several
advancements in detection and recognition techniques, robust and accurate localization of …

Object detection is one of the predominant and challenging problems in computer vision.
Over the decade, with the expeditious evolution of deep learning, researchers have …

Object detection is a fundamental task in computer vision. To improve the detection accuracy
of a detection model without increasing the model weights, this paper modifies the YOLOX …

In computer vision, object detection is the classical and most challenging problem to get
accurate results in detecting objects. With the significant advancement of deep learning …

With the development of image processing technology, computer vision is becoming more
and more popular. In recent years, deep learning has flourished, significant progress has …

Accepted: 3 August 2020 Object detection is a stimulating task in the applications of
computer vision. It is gaining a lot of attention in many real-time applications such as …

Object detection is frequently a challenging task due to poor visual cues of objects in an
image. In this paper, a new efficient deep learning-based detection method, named as …

An increasing need of running Convolutional Neural Network (CNN) models on mobile
devices with limited computing power and memory resource encourages studies on efficient …

Object detection is a valuable but challenging technology in computer vision research.
Although existing methods could attain satisfactory results on high-performance computers …

The recent and rapid growth in Unmanned Aerial Vehicles (UAVs) deployment for various
computer vision tasks has paved the path for numerous opportunities to make them more …