Object detection has been known as the core of computer vision and attracted much
research attention in recent years especially because of its close relationship with video …

In recent years, the realm of deep learning has witnessed significant advancements,
particularly in object detection algorithms. However, the unique challenges posed by remote …

In recent years, vision-based object detection methods using convolutional neural network
(CNN) have been very successful. However, the object detection method using the CNN …

From last few years country faces major challenge in maintaining security standards
particularly in public and highly sensitive places such as airports, movie theatres, stadiums …

Images captured by drones are extremely difficult to detect due to varying camera angles,
distances, sizes, and environmental conditions, making it challenging to accurately detect an …

Object detection could be a primitive work to spot objects in an image and video processing.
It's considered to be one among the difficult and challenging tasks in computer vision. There …

Object detection is of significant importance in the field of computer vision, since it has
extensive applications across many sectors. The emergence of YOLO (You Only Look Once) …

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 decades, deep learning (DL)-based frameworks for object detection made
significant strides in the field of computer vision. The primary goal of object detection is to …

YOLOv5 is one of the most popular object detection algorithms, which is divided into multiple
series according to the control of network depth and width. To realize the deployment of …