Detecting objects using deep learning technology has the advantage of getting good
accuracy. The accuracy obtained depends on the processing time of using deep learning …

As a key use of image processing, object detection has boomed along with the
unprecedented advancement of Convolutional Neural Network (CNN) and its variants since …

Sign language, the non-verbal language used by the people with hearing and speaking
disability, known as the deaf and mute, to connect the bridge of communication with others …

To address the problems of large number of parameters and high computational complexity
in current target detection models, we propose a lightweight target detection model based …

With the rapid development of artificial intelligence, a neural network is widely used in
various fields. The target detection algorithm is mainly based on a neural network, but the …

In the deep learning algorithm, YOLOv4 and Faster R-CNN have achieved excellent target
detection performance. To improve the real-time detection of small targets in traffic signs, this …

Abstract Surveillance Cameras (SCs) are great support in crime investigation and proximity
alarms which play a critical role in public safety and peace. The major drawback is their …

To improve the accuracy of the You Only Look Once v5s (YOLOv5s) algorithm for object
detection, this paper proposes an improved YOLOv5s algorithm, CBAM-YOLOv5s, which …

In the last few decades, the deep learning paradigm has been widely used in the Machine
Learning Community, thereby accounting for some of the most outstanding results on …

Live working refers to a method of maintenance and test on high voltage electrical
equipment without power failure, which requires direct contact with wires above 10kV. At …