Results 21 to 30 of about 5,835,263 (236)

Blind Detection of Broadband Signal Based on Weighted Bi-Directional Feature Pyramid Network

Sensors, 2023
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, Jielin Yao, Pingfan Wu, Jianjie Yang, Wenhao Wu, Zhijian Lin   +5 more
doaj   +1 more source

Latent Feature Pyramid Network for Object Detection

, 2023
Object detection methods based on Convolution Neural Networks (CNN) usually utilize feature pyramid networks to detect objects with various scales. The state-of-the-art feature pyramid networks improve detection accuracy by enhancing multi-level feature ...
Nie, Jing, Yanwei Pang, Han, Jungong, Jin Xie, Pang, Yanwei, Jiale Cao, Jing Nie, Jungong Han, Cao, Jiale, Xie, Jin   +9 more
core   +1 more source

GraphFPN: Graph Feature Pyramid Network for Object Detection

, 2021
Feature pyramids have been proven powerful in image understanding tasks that require multi-scale features. State-of-the-art methods for multi-scale feature learning focus on performing feature interactions across space and scales using neural networks ...
Gangming Zhao, Yizhou Yu, ZHAO, G, Ge, W, Yu, Y, Weifeng Ge   +5 more
core   +1 more source

Illumination Adaptive Multi-Scale Water Surface Object Detection with Intrinsic Decomposition Augmentation

Journal of Marine Science and Engineering, 2023
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, Zeming Li, Jiaen Sun, Limei Xu, Xuehua Zhou   +4 more
doaj   +1 more source

A Defect Detection Method Based on BC-YOLO for Transmission Line Components in UAV Remote Sensing Images

Remote Sensing, 2022
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, Xiang Du, Nian Wang, Mu Yuan, Xianjun Yang   +4 more
doaj   +1 more source

Bi-FPNFAS: Bi-Directional Feature Pyramid Network for Pixel-Wise Face Anti-Spoofing by Leveraging Fourier Spectra

Sensors, 2021
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, Md. Hasan, Labiba Rupty, Md. Sourave Hossain, Shirshajit Sengupta, Shehzad Noor Taus, Nabeel Mohammed   +6 more
doaj   +1 more source

A Robust Lightweight Network for Pedestrian Detection Based on YOLOv5-x

Applied Sciences, 2023
Pedestrian detection is a crucial task in computer vision, with various applications in surveillance, autonomous driving, and robotics. However, detecting pedestrians in complex scenarios, such as rainy days, remains a challenging problem due to the ...
Yuanjie Chen, Chunyuan Wang, Chi Zhang
doaj   +1 more source

YOLOv9-LSBN: An Improved YOLOv9 Model for Cotton Pest and Disease

IEEE Access
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, Fengkui Zhang, Jikui Zhu, Yulong Wang, Daorina Yang, Ting Zhang, Ping Li   +6 more
doaj   +1 more source

Lightweight Vehicle Detection Network Based on Improved YOLOv8 [PDF]

Jisuanji gongcheng
The current high-precision vehicle detection model faces challenges due to its excessive parameterization and computational demands, making it unsuitable for efficient operation on intelligent transportation devices.
CHEN Ziyan, WANG Xiaolong, HE Di, AN Guocheng
doaj   +1 more source

Improved YOLOv5 for Aerial Images Based on Attention Mechanism

IEEE Access, 2023
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, Bangkui Fan, Yulong Xu, Renwu Sun   +3 more
doaj   +1 more source