Results 31 to 40 of about 10,967 (196)

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

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

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

Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification

, 2017
This paper proposes a novel deep learning framework named bidirectional-convolutional long short term memory (Bi-CLSTM) network to automatically learn the spectral-spatial feature from hyperspectral images (HSIs).
Hang, Renlong, Liu, Qingshan, Yuan, Xiaotong, Zhou, Feng   +3 more
core   +2 more sources

Multi-scale feature fusion object detection with bidirectional feature pyramid network and secondary candidate box refinement

, 2023
Abstract As a task to locate and classify objects of interest in given images or videos, object detection is a core research direction of computer vision. It promotes intelligent monitoring, face recognition, and image segmentation development.
Yibo Sun, Xue Li, Chenlei Liu, Bixiao Xu, Jing Gong, Zhe Sun   +5 more
openaire   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Improved YOLOv8 Pedestrian Detection Algorithm for Long-Distance Situations [PDF]

Jisuanji gongcheng
Pedestrian detection in intelligent community scenarios needs to accurately recognize pedestrians to address various situations. However, for persons who are occluded or at long distances, existing detectors exhibit problems such as missed detection ...
TANG Jingwen, LAI Huicheng, WANG Tongguan
doaj   +1 more source

Spatially Tailorable Liquid Crystalline Elastomer Alignment During Digital Light Process 3D Printing

Advanced Functional Materials, EarlyView.
Here, we report the fabrication of 3D printable liquid crystalline elastomer (LCE) structures with spatially tailorable alignment domains within the same layer. This work addresses the long‐standing challenge of preparing complex 3D LCE architectures with patterned functional domains to achieve nonlinear deformations. Fabrication of multi‐domains in 3D
Adam Bischoff, Saman Jamshididana, Zach Miller, Kassandra Hernandez, Nicolas Gonsalves, Andre Olarra, Elliot Yoo, Jeremy A. Herman, Devin J. Roach   +8 more
wiley   +1 more source

YOLO-AEB: PCB Surface Defect Detection Based on Adaptive Multi-Branch Attention and Efficient Atrous Spatial Pyramid Pooling

Computers
The surface defect detection of printed circuit boards (PCBs) plays a crucial role in the field of industrial manufacturing. However, the existing PCB defect detection methods have great challenges in detecting the accuracy of tiny defects under the ...
Chengzhi Deng, Yingbo Wu, Zhaoming Wu, Weiwei Zhou, You Zhang, Xiaowei Sun, Shengqian Wang   +6 more
doaj   +1 more source

Unconstrained Scene Text and Video Text Recognition for Arabic Script

, 2017
Building robust recognizers for Arabic has always been challenging. We demonstrate the effectiveness of an end-to-end trainable CNN-RNN hybrid architecture in recognizing Arabic text in videos and natural scenes.
Jain, Mohit, Jawahar, C. V., Mathew, Minesh   +2 more
core   +1 more source