7,748 Result(s)
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**an** Song
Computer Science
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Article
A two-stage fusion remote sensing image dehazing network based on multi-scale feature and hybrid attention
Remote sensing images acquired under bad weather conditions often suffer from serious degradation such as color distortion, blur and low contrast, which seriously affects their application in vision tasks. To ...
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A novel defect detection method for color printing fabrics based on attention mechanism and space-to-depth transformation
Defect detection of color printing fabrics is a challenging branch of the textile industry. However, due to the issues of multi-scale defects and information loss of tiny objects, the defect accuracy of the ex...
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Attention-driven residual-dense network for no-reference image quality assessment
With the rapid development of deep learning, convolutional neural networks have been applied to no-reference image quality assessment (NR-IQA), but most methods focus on the design of complex networks, which n...
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Improvement of robust tensor principal component analysis based on generalized nonconvex approach
The problem of nonconvex robust tensor principal component analysis consists of recovering the low-rank and sparse part from a tensor corrupted by noise, which attracts a great deal of attention in a wide rang...
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Clustering-assisted gradient-based optimizer for scheduling parallel cloud workflows with budget constraints
Cloud computing has gradually become one of the most popular platforms for executing scientific applications due to its elastic and on-demand resource provisional capabilities. But, how to effectively schedule...
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Open AccessExtract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that aggregate explicit social links have shown promising prospects, the...
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Application of hill climbing method in position angle compensation for SPMSM
Surface-mounted permanent magnet synchronous motor (SPMSM) is widely used in the industrial field with excellent performance, and the rise of artificial intelligence has also promoted its development. In order...
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Hyper-relational knowledge graph neural network for next POI recommendation
With the advancement of mobile technology, Point of Interest (POI) recommendation systems in Location-based Social Networks (LBSN) have brought numerous benefits to both users and companies. Many existing work...
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Context-aware adaptive network for UDA semantic segmentation
Unsupervised Domain Adaptation (UDA) plays a pivotal role in enhancing the segmentation performance of models in the target domain by mitigating the domain shift between the source and target domains. However,...
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Lightweight safety helmet detection algorithm using improved YOLOv5
In response to the challenges faced by existing safety helmet detection algorithms when applied to complex construction site scenarios, such as poor accuracy, large number of parameters, large amount of comput...
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Article
Robust consistency learning for facial expression recognition under label noise
Label noise is inevitable in facial expression recognition (FER) datasets, especially for datasets that collected by web crawling, crowd sourcing in in-the-wild scenarios, which makes FER task more challenging...
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Quality evaluation methods of handwritten Chinese characters: a comprehensive survey
Quality evaluation of handwritten Chinese characters aims to automatically quantify and assess handwritten Chinese characters through computer vision and machine learning technology. It is a topic of great con...
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Ensemble based fully convolutional transformer network for time series classification
Currently, multivariate time series classification is widely used in various fields, including industrial process control, action recognition, and health monitoring. Due to their sequential modeling capabiliti...
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Re-initialization-Free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation
Variational level set method has become a powerful tool in image segmentation due to its ability to handle complex topological changes and maintain continuity and smoothness in the process of evolution. Howeve...
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Exploring the interaction strategy and release timing for robot-to-human handovers with manually guided motion
Object handover is one of the fundamental tasks of service robots. This paper focuses on a robot-to-human object handover controller applied to a domestic service robot. People in need often have manual operat...
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Exploring high-quality image deraining Transformer via effective large kernel attention
In recent years, Transformer has demonstrated significant performance in single image deraining tasks. However, the standard self-attention in the Transformer makes it difficult to model local features of imag...
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Correction: LanT: finding experts for digital calligraphy character restoration
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Ha-gnn: a novel graph neural network based on hyperbolic attention
Graph neural networks (GNNs) are powerful tools for data mining on graph-structured data in various domains, such as social science, finance, and biology. However, most existing GNNs operate in Euclidean space...
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Article
Video smoke detection method based on cell root–branch structure
In recent years, smoke detection methods based on deep learning have become a research focus for the timely and accurate detection of industrial fires. However, in practical engineering applications, the detec...
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Towards an assessment model of college students’ computational thinking with text-based programming
Computational thinking (CT) assessment is crucial for testing the effectiveness of CT skills development. However, the exploration of CT assessment in the context of text-based programming is in its initial st...
