YOLOv5 is one of the latest and often used versions of a very popular deep learning neural
network used for various machine learning tasks, mainly in computer vision. The YOLO …

It is of great significance to apply the object detection methods to automatically detect
boulders from planetary images and analyze their distribution. This contributes to the …

Aiming to address the currently low accuracy of domestic industrial defect detection, this
paper proposes a Two-Stage Industrial Defect Detection Framework based on Improved …

Engagement plays an essential role in the learning process. Recognition of learning
engagement in the classroom helps us understand the student's learning state and optimize …

Due to the complex texture background, uneven brightness, various defect sizes and types
of hot-pressed light guide plate (LGP) images, the HM-YOLOv5 network for fast and accurate …

In order to improve the detection accuracy of the surface defect detection of industrial hot
rolled strip steel, the advanced technology of deep learning is applied to the surface defect …

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 …

Balancing accuracy and efficiency is of significant importance for multispectral pedestrian
detection in practical applications. To address these problems, a light-weight anchor-free …

Design and development of autonomous vehicles capable of moving safely on roads by
sensing the environment has motivated researchers to focus on design of pedestrian …

Purpose Osteoporosis is a systemic disease that causes fracture risk and bone fragility due
to decreased bone mineral density and deterioration of bone microarchitecture. Deep …