Results 71 to 80 of about 1,461 (155)

S₂Head: Small-Scale Human Head Detection Algorithm by Improved YOLOv8n Architecture

IEEE Access
Analyzing crowd density and distribution through human head detection in surveillance footage is crucial for intelligent public safety management. Existing head detection algorithms face challenges in accurately detecting small and densely packed head ...
Yuteng Sui, Xinghua Shan, Linlin Dai, Hui Jing, Bo Li, Jianjun Ma   +5 more
doaj   +1 more source

BiFPN-YOLO: One-stage object detection integrating Bi-Directional Feature Pyramid Networks

Pattern Recognition, 2023
John Doherty, Bryan Gardiner, Emmett Kerr, Nazmul Siddique   +3 more
openaire   +1 more source

Wind Turbine Surface Crack Detection Based on YOLOv5l-GCB

Energies
As a fundamental element of the wind power generation system, the timely detection and rectification of surface cracks and other defects are imperative to ensure the stable function of the entire system.
Feng Hu, Xiaohui Leng, Chao Ma, Guoming Sun, Dehong Wang, Duanxuan Liu, Zixuan Zhang   +6 more
doaj   +1 more source

Research on helmet wearing detection method based on deep learning

Scientific Reports
The vigorous development of the construction industry has also brought unprecedented safety risks. The wearing of safety helmets at the construction site can effectively reduce casualties.
Lihong Wei, Panpan Liu, Haihui Ren, Dong Xiao   +3 more
doaj   +1 more source

A Lightweight Traffic Sign Detection Model Based on Improved YOLOv8s for Edge Deployment in Autonomous Driving Systems Under Complex Environments

World Electric Vehicle Journal
Traffic sign detection is a core function of autonomous driving systems, requiring real-time and accurate target recognition in complex road environments.
Chen Xing, Haoran Sun, Jiafu Yang
doaj   +1 more source

Accurate arrested landing state recognition of carrier-based aircraft based on coordinate attention and weighted bi-directional feature pyramid network

Zhongguo Jianchuan Yanjiu
ObjectiveThe critical factor in the safe landing of carrier-based aircraft is the successful locking of the tailhook and arresting wires. However, in the existing research, there is relatively little work on using intelligent means to assist the landing ...
Zhe LI, Jie YANG, Yi ZHANG, Hua WANG, Yafei LI, Ke WANG, Mingliang XU   +6 more
doaj   +1 more source

BCA-MVSNet: Integrating BIFPN and CA for Enhanced Detail Texture in Multi-View Stereo Reconstruction

Electronics
The 3D point cloud generated by MVSNet has good scene integrity but lacks sensitivity to details, causing holes and non-dense areas in flat and weak-texture regions. To address this problem and enhance the point cloud information of weak-texture areas, the BCA-MVSNet network is proposed in this paper.
Ning Long, Zhengxu Duan, Xiao Hu, Mingju Chen   +3 more
openaire   +1 more source

Convolutional Feature Enhancement and Attention Fusion BiFPN for Ship Detection in SAR Images

Synthetic Aperture Radar (SAR) enables submeter-resolution imaging and all-weather monitoring via active microwave and advanced signal processing. Currently, SAR has found extensive applications in critical maritime domains such as ship detection. However, SAR ship detection faces several challenges, including significant scale variations among ships ...
Meng, Liangjie, Li, Danxia, He, Jinrong, Ma, Lili, Li, Zhixin   +4 more
openaire   +2 more sources

CBTi-YOLOv5: Improved YOLOv5 with CBAM, Transformer, and BiFPN for Real-Time Safety Helmet Detection

Journal of Information Systems Engineering and Business Intelligence
Background: Some construction workers are often in a situation where injuries can occur from negligence in the use of safety helmets. To avoid this, supervision of the use of safety helmets should be conducted continuously during the work process through the application of computer vision technology.
Tio Dharmawan, Danang Setiawan, Muhamad Arief Hidayat, Vandha Pradwiyasma Widartha   +3 more
openaire   +1 more source

A lightweight YOLO-TinyFuse model for small target detection of olive fruits. [PDF]

Front Plant Sci
Yang X, Lin Y, Xiao Q, Liang Z, Ma L, ShuoGuo Y, Ade K, Tong Z, Chen Y, Cao Y.   +9 more
europepmc   +1 more source