Results 41 to 50 of about 23,891 (225)
An Efficient Bidirectional Point Pyramid Attention Network for 3D Point Cloud Completion
Point cloud completion is a necessary task in real-world applications of recovering a complete geometry from missing regions of 3D objects. Furthermore, model efficiency is of vital importance in computer vision.
Yang Li +3 more
core +1 more source
Blind Detection of Broadband Signal Based on Weighted Bi-Directional Feature Pyramid Network
With the development of wireless technology, signals propagating in space are easy to mix, so blind detection of communication signals has become a very practical and challenging problem.
Shirong Guo +5 more
doaj +1 more source
Due to the increasing maturity of deep learning and remote sensing technology, the performance of object detection in satellite images has significantly improved and plays an important role in military reconnaissance, urban planning, and agricultural ...
Yuhui Zheng, Xinchi Wei, Yan Zhang
core +1 more source
TMCrack-Net: A U-Shaped Network with a Feature Pyramid and Transformer for Mural Crack Segmentation
The detection of crack information is very important in mural conservation. In practice, the number of ancient murals is scarce, and the difficulty of collecting digital information about murals leads to minimal data being collected.
Jia Wang, Meng Wu, Min Jia
core +1 more source
Visual object detection is an essential task for the intelligent navigation of an Unmanned Surface Vehicle (USV), which can sense the obstacles while navigating.
Zhiguo Zhou +4 more
doaj +1 more source
Vibration dampers and insulators are important components of transmission lines, and it is therefore important for the normal operation of transmission lines to detect defects in these components in a timely manner. In this paper, we provide an automatic
Wenxia Bao +4 more
doaj +1 more source
FE-RetinaNet: Small Target Detection with Parallel Multi-Scale Feature Enhancement
Because small targets have fewer pixels and carry fewer features, most target detection algorithms cannot effectively use the edge information and semantic information of small targets in the feature map, resulting in low detection accuracy, missed ...
Mingwen Shao, Junlong Yang, Hong Liang
core +1 more source
The emergence of biometric-based authentication using modern sensors on electronic devices has led to an escalated use of face recognition technologies. While these technologies may seem intriguing, they are accompanied by numerous implicit drawbacks. In
Koushik Roy +6 more
doaj +1 more source
YOLOv9-LSBN: An Improved YOLOv9 Model for Cotton Pest and Disease
To achieve accurate identification of cotton aphids and diseases in natural complex environments, an enhanced YOLOv9 model named YOLOv9-LSBN (Large Selective Kernel Network with Bidirectional Feature Pyramid) is proposed.
Ruohong He +6 more
doaj +1 more source
Improved YOLOv5 for Aerial Images Based on Attention Mechanism
Object detection based on unmanned aerial vehicle (UAV) platforms is essential for both engineering and research. Complex scale problems in UAV application scenarios require strong regression localization capabilities from target detection algorithms ...
Zebin Li +3 more
doaj +1 more source

