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Titlebook: Artificial Intelligence and Robotics; 7th International Sy Shuo Yang,Huimin Lu Conference proceedings 2022 The Editor(s) (if applicable) an

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https://doi.org/10.1007/978-3-322-92856-6ly one or two layers, failing to obtain consistent results for objects with different scales. In this paper, we propose a cross-layer feature attention module (CFAM) which can be plugged in any off-the-shelf architecture, and demonstrate that attentions obtained from multiple layers can further impr
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Research on Matching Mechanism and Route Planning of Intercity Carpool,adually become one of the important ways of intercity transportation. The ride-sharing platform provides functions of information interaction among passengers and drivers, allocating the transportation tasks and recommending the optimal route planning. Existing ride-sharing platforms fail to take us
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Image Undistortion and Stereo Rectification Based on Central Ray-Pixel Models, Having many more parameters than traditional models, ray-pixel models are capable of describing cameras more accurately. Despite this, ray-pixel models are still rarely used in practice due to the lack of mature modules for image undistortion and stereo rectification. Perceived that optical centers
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GGM-Net: Gradient Constraint on Multi-category Brain MRI Segmentation,ulti-category brain tumor segmentation task, complexity of tumor growth lead to poor segmentation performance near intersection area. Most medical image segmentation methods extract the region of interest based on the gray information of the image, rather than introducing gradient information. In ad
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Linear Split Attention for Pavement Crack Detection,enance costs, this method was designed for realizing early detection of various cracks on the surface of pavement, which are mostly made of concrete, asphalt and other materials. To improve the accuracy of crack detection, this paper slightly modifies the backbone network vgg16 to retain the crack f
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