An Improved YOLOv8 OBB Model for Ship Detection through Stable Diffusion Data Augmentation
SensorsUnmanned aerial vehicles (UAVs) with cameras offer extensive monitoring capabilities and exceptional maneuverability, making them ideal for real-time ship detection and effective ship management.
Sang Feng, Yi Huang, Ning Zhang
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A Lightweight YOLOv8-Based Network for Efficient Corn Disease Detection
MathematicsTo address the pressing need for accurate and efficient detection of corn diseases, we propose a novel, lightweight object detection framework, CBS-YOLOv8 (C2f-BiFPN-SCConv YOLOv8), which builds upon the YOLOv8 architecture to enhance performance for ...
Deao Song +3 more
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Enhanced YOLOv8 with BiFPN-SimAM for Precise Defect Detection in Miniature Capacitors
Applied SciencesIn the domain of automatic visual inspection for miniature capacitor quality control, the task of accurately detecting defects presents a formidable challenge. This challenge stems primarily from the small size and limited sample availability of defective micro-capacitors, which leads to issues such as reduced detection accuracy and increased false ...
Ning Li +4 more
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Vehicle detection and classification for traffic management and autonomous systems using YOLOv10
Alexandria Engineering JournalWith the continuous development of Intelligent Transportation Systems (ITS), real-time vehicle detection and classification have become critical tasks for urban traffic management and autonomous driving.
Anning Ji, Xintao Ma
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A BiFPN-SECA Detection Network for Foreign Objects on Top of Railway Freight Vehicles
Signal, Image and Video ProcessingAbstract Foreign object detection on top of railway freight vehicles is critical to ensuring the safety and efficiency railway transportation. However, this task faces major challenges such as low accuracy and potential false positives and false negatives.
Sheng Liu, Yiqing Yang, Ting Cao, Yi Zhu
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An Infrared Image Defect Detection Method for Steel Based on Regularized YOLO
SensorsSteel surfaces often display intricate texture patterns that can resemble defects, posing a challenge in accurately identifying actual defects. Therefore, it is crucial to develop a highly robust defect detection model.
Yongqiang Zou, Yugang Fan
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Motion vehicle detection for traffic video streams
The Journal of EngineeringThis research offers an enhanced version of the YOLOv5s+MobileNetV3+BiFPN method to address a number of issues in moving vehicle recognition in traffic video streams, including lightweight network model, motion blur, scene delay etc.
Jianhao Song +3 more
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YOLOV9-CBM: An Improved Fire Detection Algorithm Based on YOLOV9
IEEE AccessRegarding the current problems of false alarms and missed detections in fire detection, we propose a high-precision fire detection algorithm, YOLOV9-CBM (C3-SE, BiFPN, MPDIoU), by optimizing YOLOV9.
Xin Geng +4 more
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Performance of EfficientPose Method with Reduced BiFPN Layer for 6D Pose Estimation
Nusantara Science and Technology ProceedingsSmart technologies, such as automatic self-driving cars, autopilot aircraft, and self-controlled robots, are devices that have the intelligence to control the steering system automatically. In this study, we propose an approach to predict the position of objects in 3D space for controlling autopilot smart devices with more diverse and accurate response
Budi Nugroho +2 more
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Research on YOLOv5 Oracle Recognition Algorithm Based on Multi-Module Fusion
IEEE AccessThe recognition of oracle bone script is of significant importance for understanding the evolution of Chinese characters, their morphological features, and semantic changes.
Xinhang Zhang +3 more
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