Results 91 to 100 of about 10,507 (209)
Dynamic Adaptive Label Assignment for Tiny Object Detection in Remote Sensing Images
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has been made in the accuracy and speed of object detection in recent years, performance declines sharply when general object detectors ...
Shuohao Shi, Qiang Fang, Xin Xu
wiley +1 more source
MSFFNet: Multiscale Feature Fusion Network for Small Target Detection in Remote Sensing Images
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT With the advancement of satellite remote sensing technology, object detection based on high‐resolution remote sensing imagery has emerged as a prominent research focus in the field of computer vision. Although numerous algorithms have been developed for remote sensing image object detection, they still suffer from challenges such as low ...
Hui Zong +5 more
wiley +1 more source
Car Plate Detection Based on Yolov3
Journal of Physics: Conference Series, 2020 Abstract An intelligent car plate detection method can make the travel more convenient and efficient. However, traditional methods are reasonably effective under the specific circumstances or strong assumptions only, and there are few databases for car plate detection.
Siyuan Shen +3 more
openaire +1 more source
YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry
High Voltage, EarlyView.ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao +7 more
wiley +1 more source
Rare plants detection using a YOLOv3 neural network
Компьютерная оптикаRare plant species restoration (reintroduction) is one of the main biodiversity conservation activities. Reintroduced plants need constant monitoring in order to study features of their development and control the population state.
L.A. Gorodetskaya +3 more
doaj +1 more source
Mask wearing detection based on YOLOv3
Journal of Physics: Conference Series, 2020 AbstractThe CoVID-19 is still raging around the world, and the work of relying on manpower to detect masks in public places is time-consuming and laborious. To solve this problem, this paper proposes an improved Face_mask Net detection method for convolutional neural network based on YOLOv3.
Ren, Xiaokang, Liu, Xingxing
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Textile and colour defect detection using deep learning methods
Coloration Technology, EarlyView.Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui +2 more
wiley +1 more source
BMC Bioinformatics, 2021 Background Manual microscopic examination of Leishman/Giemsa stained thin and thick blood smear is still the “gold standard” for malaria diagnosis. One of the drawbacks of this method is that its accuracy, consistency, and diagnosis speed depend on ...
Fetulhak Abdurahman +2 more
doaj +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
Research on pedestrian detection technology for mining unmanned vehicles
Gong-kuang zidonghuaThe working environment of mining unmanned vehicles features complex lighting conditions, leading to frequent occurrences of missed detections in pedestrian detection, which undermines the reliability and safety of these vehicles.
ZHOU Libing +6 more
doaj +1 more source