Results 41 to 50 of about 1,461 (155)

SSGA‐YOLO: A Lightweight Sonar Image Object Detection Network With Efficient Convolution and Acoustic‐Aware Attention for Embedded Systems

IET Image Processing, Volume 20, Issue 1, January/December 2026.
We propose SSGA‐YOLO, an efficient underwater sonar image detector designed for deployment on embedded AI platforms. By introducing a lightweight S‐Net backbone, Efficient Group Shuffle Convolution (EGSConv) and Lightweight Shuffle‐Aware Group Attention (LSGA), our model achieves a strong balance between accuracy and efficiency, reducing parameters and
Yan Liu, Gan Yan, Tong Chen, Guanying Huo   +3 more
wiley   +1 more source

A Highway Litter Detection Method Based on Multi‐scale Feature Fusion and Dynamic Feature Enhancement

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
To address missed detections and false positives in highway litter detection caused by small target sizes and feature degradation, this study proposes a novel framework integrating multi‐scale feature fusion and dynamic feature enhancement mechanisms, which includes a contextual anchor attention module, an improved spatial pyramid pooling module, a ...
Changlu Guo, Yecai Guo, Songbin Li
wiley   +1 more source

Transmission Line Defect Detection in Low‐Light Environments Using Image Adversarial Synthesis and the LCDD‐YOLO Algorithm

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
To address the requirements for high‐precision detection of transmission line defects by inspection drones in low‐light environments such as cloudy days and to overcome the problem of significant accuracy degradation in current defect detection algorithms under low‐light conditions, this paper uses YOLOv8 as the baseline algorithm.
Yuxin Zhu, Shaotong Pei, Floriano Cuccureddu   +2 more
wiley   +1 more source

Leaf Segmentation Using Modified YOLOv8-Seg Models

Life
Computer-vision-based plant leaf segmentation technology is of great significance for plant classification, monitoring of plant growth, precision agriculture, and other scientific research.
Peng Wang, Hong Deng, Jiaxu Guo, Siqi Ji, Dan Meng, Jun Bao, Peng Zuo   +6 more
doaj   +1 more source

Dataset Construction and Real‐Time Monitoring for Developing an Intelligent Drowning Warning Algorithm by the CamTra System

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
To solve the problem of sparse images in real‐world drowning datasets, this study aims to create an intelligent system that can generate a large number of drowning datasets by optimizing AI image generation algorithms. The system will gradually be used to make up for the shortage of rare real‐world drowning datasets based on the CamTra (camera tracking)
Bing Bai, Chen Chuan Yu, Yan Wu, Sinuo Hou, Wang Qin, Litao Zhou, Xiaozheng Li, Richard Murray   +7 more
wiley   +1 more source

A Detection Method of Pine Wilt Disease Based on Improved YOLOv11 With UAV Remote Sensing Images

Ecology and Evolution, Volume 15, Issue 12, December 2025.
The proposed YOLOv11‐OC model enhances detection performance in PWD‐infected trees in two main ways. On one hand, the omni‐dimensional dynamic convolution (ODConv) module improves the C3K2 by using a multi‐dimensional attention mechanism to adaptively adjust the convolution kernel weights, thereby enhancing the model's ability to extract features from ...
Hua Shi, Zhenhui Zhu, Xiaozhou Feng, Yufen Xie, Hui Guo, Pengxiang Xue, Yonghang Wang   +6 more
wiley   +1 more source

PSH‐YOLO: A Detection Method for Small‐Target Thermal Defects in Porcelain Insulators

Energy Science &Engineering, Volume 13, Issue 12, Page 6253-6265, December 2025.
It clearly presents the differences between You Only Look Once v8 (YOLOv8) and the improved Porcelain insulator Small‐target Heating defect detection You Only Look Once (PSH‐YOLO) in each core module of the network structure in a comparative form, intuitively demonstrating the algorithm improvement logic.
Pei Shaotong, Tian Xu, Wang Weiqi, Li Keyu, Hu Chenlong   +4 more
wiley   +1 more source

Rock Surface Crack Recognition Based on Improved Mask R-CNN with CBAM and BiFPN

Buildings
To address the challenges of multi-scale distribution, low contrast and background interference in rock crack identification, this paper proposes an improved Mask R-CNN model (CBAM-BiFPN-Mask R-CNN) that integrates the convolutional block attention ...
Yu Hu, Naifu Deng, Fan Ye, Qinglong Zhang, Yuchen Yan   +4 more
doaj   +1 more source

An effective ship detection approach combining lightweight networks with supervised simulation‐to‐reality domain adaptation

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 27, Page 4732-4757, 14 November 2025.
Abstract Computer vision‐based ship detection using extensively labeled images is crucial for visual maritime surveillance. However, such data collection is labor‐intensive and time‐demanding, which hinders the practical application of newly built ship inspection systems. Additionally, well‐trained detectors are usually deployed on resource‐constrained
Ruixuan Liao, Yiming Zhang, Hao Wang, Linjun Lu, Zhengyi Chen, Xiaoyou Wang, Wenqiang Zuo   +6 more
wiley   +1 more source

End‐to‐end instance segmentation framework for automated pavement distress assessment using unmanned aerial vehicle‐derived digital orthophoto maps

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 24, Page 4055-4075, 6 October 2025.
Abstract This study presents a novel framework for automated detection and segmentation of pavement distresses using high‐resolution digital orthophoto maps captured by unmanned aerial vehicles (UAVs). While recent UAV‐based research often relies on manual measurements from rasterized digital models, only a few studies have employed automated methods ...
Zia U. A. Zihan, Omar Smadi, Inya Nlenanya   +2 more
wiley   +1 more source