Results 31 to 40 of about 23,891 (225)

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   +2 more sources

BFE-Net: Bidirectional Multi-Scale Feature Enhancement for Small Object Detection

Applied Sciences, 2022
Small object detection becomes a challenging problem in computer vision due to low resolution and less feature information. Making full use of high-resolution features is an important factor in improving small object detection.
Qian Zhang, Jie Ren, Hong Liang, Ying Yang, Lu Chen   +4 more
doaj   +2 more sources

OTB-YOLO: An Enhanced Lightweight YOLO Architecture for UAV-Based Maize Tassel Detection [PDF]

Plants
To tackle the challenges posed by substantial variations in target scale, intricate background interference, and the likelihood of missing small targets in multi-temporal UAV maize tassel imagery, an optimized lightweight detection model derived from ...
Yu Han, Xingya Wang, Luyan Niu, Song Shi, Yingbo Gao, Kuijie Gong, Xia Zhang, Jiye Zheng   +7 more
doaj   +2 more sources

A Novel Alzheimer’s Disease Classification Framework Integrating 3D CNN With Bidirectional Feature Pyramid Network and Vision Transformers

IEEE Access
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that severely affects memory and cognitive function, underscoring the need for accurate and early diagnostic tools.
Mohammed G. Alsubaie, Suhuai Luo, K. Shaukat, Weijia Zhang   +3 more
semanticscholar   +2 more sources

EBS-YOLO: edge-optimized bidirectional spatial feature augmentation for in-field detection of wheat Fusarium head blight epidemics [PDF]

Plant Methods
Fusarium head blight (FHB), caused by the Fusarium species complex, significantly endangers wheat yield and safety. Accurate and timely assessment of FHB epidemic level in the field is crucial for effective disease management.
Rui Mao, Hongli Yuan, Feilong Li, Ying Shi, Jia Zhou, Xuemei Hu, Xiaoping Hu   +6 more
doaj   +2 more sources

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   +2 more sources

LBT-YOLO: A Lightweight Road Targeting Algorithm Based on Task Aligned Dynamic Detection Heads

IEEE Access
Autonomous driving technology plays a key role in addressing traffic safety issues and relieving traffic congestion by virtue of its capabilities of enabling accurate environmental perception and real-time response.
Pei Tang, Zhenyu Ding, Minnan Jiang, Weikai Xu, Mao Lv   +4 more
doaj   +2 more sources

IDDNet: Infrared Object Detection Network Based on Multi-Scale Fusion Dehazing

Sensors
In foggy environments, infrared images suffer from reduced contrast, degraded details, and blurred objects, which impair detection accuracy and real-time performance.
Shizun Sun, Shuo Han, Junwei Xu, Jie Zhao, Ziyu Xu, Lingjie Li, Zhaoming Han, Bo Mo   +7 more
doaj   +2 more sources

YOLO-PFA: Advanced Multi-Scale Feature Fusion and Dynamic Alignment for SAR Ship Detection

Journal of Marine Science and Engineering
Maritime ship detection faces challenges due to complex object poses, variable target scales, and background interference. This paper introduces YOLO-PFA, a novel SAR ship detection model that integrates multi-scale feature fusion and dynamic alignment ...
Shu Liu, Peixue Liu, Zhongxun Wang, Mingze Sun, Pengfei He   +4 more
doaj   +2 more sources

On Image Ｒecognition Using Bidirectional Feature Pyramid and Deep Neural Network

Journal of Harbin University of Science and Technology, 2021
Object recognition is one of the fundamental tasks in the area of computer vision. The development of deep neural networks advances the object recognition. Nonetheless，multi-scale object recognition still remains to be a challenging task.
ZHAO Sheng, ZHAO Li
doaj   +1 more source