As one of the most important natural resources, forest plays an irreplaceable role in human development and survival. Most of the traditional tree detection methods are artificial field surveys. This paper proposes to...
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To upgrade the exactness of the 3D point cloud target location calculation, this investigate presents an progressed PointPillars strategy leveraging spatial consideration and channel components. At first, we coordinat...
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In a video multi-objecttracking scene, the problems of target occlusion, track crossing still exist. Limited by the quantity of the detector, the traditional association algorithms will lead to missing and false trac...
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This study aims to explore the construction consumption determination method based on convolutional cloud neural network image recognition technology. By analyzing the application of convolutional cloud neural network...
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With increasing library visits, book misplacement has become a significant issue, affecting over 5% of books globally and burdening library staff. To address this, we developed a system using YOLOv8 with an enhanced C...
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Although the existing Multi View Video Coding (MVC) achieves high coding efficiency, it also increases the risk of error propagation. This article will study the multi view and multi description video encoding technol...
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The proceedings contain 35 papers. The topics discussed include: design of a book misplacement detection system based on image recognition;automatic detection of ultrasonic water meter LCD pattern elements based on Co...
ISBN:
(纸本)9781510685512
The proceedings contain 35 papers. The topics discussed include: design of a book misplacement detection system based on image recognition;automatic detection of ultrasonic water meter LCD pattern elements based on ConvNeXt;deep intrinsic image popularity assessment by learning to rank;a late fusion framework for multi-vehicle collaborative perception;subpixel precision BGA chip localization method based on Lagrange interpolation;signal-to-noise ratio analysis and experimental verification of imaging laser detection system;comparison of cell image segmentation results based on U-Net and transformer;and deep learning based algorithm for classifying pedestrian behavior at crosswalks.
In light of the escalating threat posed by lasers, there is a growing imperative to investigate high-performance laser detection systems. When juxtaposed with non-imaging alternatives, imaging laser detection systems ...
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In order to maintain a good living and learning environment and students39; health in campus, it is particularly important to detect students39; smoking behavior in campus. With the continuous development of artif...
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Traditional object detection algorithm YOLOv8 faces challenges when robotic pollination needs to identify crops, such as misdetection and omission due to the small size of the crop, dense planting, vegetation cover an...
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