The image style conversion work is to map the style of the target domain image while keeping the content of the natural landscape image in the source domain unchanged. This technology is widely used in fields such as ...
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ISBN:
(数字)9798331507398
ISBN:
(纸本)9798331507404
The image style conversion work is to map the style of the target domain image while keeping the content of the natural landscape image in the source domain unchanged. This technology is widely used in fields such as painting, film, and artistic creation. At present, research in this field mostly focuses on learning the styles of Western painters, lacking research on traditional Chinese painting styles. Due to the limitations of various painting techniques and clear semantic boundaries in traditional Chinese painting, existing methods still cannot clearly express stroke boundaries. This article proposes a style conversion network based on CycleGAN named Conv-CycleGAN. Convnext blocks are added to the generator in combination with PONO-MS modules to extract finer boundary features, and a self-attention mechanism module is used in the discriminator to achieve high-quality image style conversion of Chinese pastoral landscape paintings. Through extensive experimental comparisons and evaluations, it has been proven that this method has the ability to optimize the traditional Chinese painting style, confirming its superiority.
Federated learning provides clients with a means of collaboratively training a global model without sharing their local data, managed by a central server. However, this server cannot always be trusted, as it may act d...
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In this paper, a novel heterogeneous neural network is proposed by coupling improved memristor 2D HR neuron and 1D HNN neuron with locally active memristor. The effect of coupling intensity on synchronization behavior...
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We study the efficient approximation algorithm for max-covering circle problem. Given a set of weighted points in the plane and a circle with specified size, max-covering circle problem is to find the proper place whe...
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Recent advancements in robotics have transformed industries such as manufacturing,logistics,surgery,and planetary exploration.A key challenge is developing efficient motion planning algorithms that allow robots to nav...
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Recent advancements in robotics have transformed industries such as manufacturing,logistics,surgery,and planetary exploration.A key challenge is developing efficient motion planning algorithms that allow robots to navigate complex environments while avoiding collisions and optimizing metrics like path length,sweep area,execution time,and energy *** the available algorithms,sampling-based methods have gained the most traction in both research and industry due to their ability to handle complex environments,explore free space,and offer probabilistic completeness along with other formal *** their widespread application,significant challenges still *** advance future planning algorithms,it is essential to review the current state-of-the-art solutions and their *** this context,this work aims to shed light on these challenges and assess the development and applicability of sampling-based ***,we aim to provide an in-depth analysis of the design and evaluation of ten of the most popular planners across various *** findings highlight the strides made in sampling-based methods while underscoring persistent *** work offers an overview of the important ongoing research in robotic motion planning.
The document classification (DC) task assigns predefined classes to unlabeled documents using trained models. In the medical field, DC is crucial for tasks like categorizing risk factors and classifying electronic hea...
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In this paper, we propose the development of a highly stable and low-cost refractometer for measuring the sucrose concentration. Laboratory-grade refractometers are prohibitively costly and impractical for everyday ap...
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With the proliferation of e-government, e-commerce, and other applications, the demand for secure and accurate time information services has become more and more urgent in various industries. The traditional time dist...
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As milk consumption increases, rapid detection of milk concentration is becoming more and more crucial. In this research, we propose an LED-based milk concentration detection system, which is a new detection method th...
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To fully exploit the limited flight-time of the flying robot, and ensure the successful visibility of target, viewpoint optimization is proposed in this paper for the inspection of electricity transmission tower equip...
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To fully exploit the limited flight-time of the flying robot, and ensure the successful visibility of target, viewpoint optimization is proposed in this paper for the inspection of electricity transmission tower equipment with an optimization function to determine the best viewpoints in a local viewpoint region. The local viewpoint regions are generated from the local objective regions which are determined by the geometrical structure of a priori 3D model for the electricity transmission tower equipment. The optimization function is structured based on three factors including visibility, viewing quality and observation distance. In addition, the fitness function of genetic algorithm is used to find the optimal viewpoint. The experimental results demonstrate the effectiveness and efficiency of the proposed viewpoint selection algorithm.
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