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Quadratic Polynomial Residual Network for No-Reference Image Quality Assessment
Residual connection has become an essential structure of deep neural networks. In residual connection, shallow features are directly superimposed to...
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Elementary Remarks on Some Quadratic Based Identity Based Encryption Schemes
In the design of an identity-based encryption (IBE) scheme, the primary security assumptions center around quadratic residues, bilinear map**s, and...
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Ensemble Quadratic Assignment Network for Graph Matching
Graph matching is a commonly used technique in computer vision and pattern recognition. Recent data-driven approaches have improved the graph...
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Algebraic lattices coming from \({\mathbb {Z}}\)-modules generalizing ramified prime ideals in odd prime degree cyclic number fields
Lattice theory has shown to be useful in information theory, and rotated lattices with high modulation diversity have been extensively studied as an...
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Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task
IoT and edge devices, capable of capturing data from their surroundings, are becoming increasingly popular. However, the onboard analysis of the...
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GPenSIM Support for Petri Modules
This chapter presents the extension to GPenSIM to support develo** modular Petri nets. This chapter discusses the programming constructs provided...
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SCAU-net: 3D self-calibrated attention U-Net for brain tumor segmentation
Recently, U-Net architecture with its strong adaptability has become prevalent in the field of MRI brain tumor segmentation. Meanwhile, researchers...
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Deep Learning in Quadratic Frequency Modulated Thermal Wave Imaging for Automatic Defect Detection
Machine learning and artificial intelligence became a revolutionary trend in various non-destructive testing (NDT) techniques. Among various NDT...
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GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images
Convolutional neural network (CNN) has achieved superior performance on the computer-aided diagnosis for histopathological images. Although the...
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CANet: cross attention network for food image segmentation
Food image segmentation which aims to distinguish various ingredients is crucial for food safety, as estimating calories and other nutrients is...
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Efficient perception, planning, and control algorithm for vision-based automated vehicles
Autonomous vehicles have limited computational resources and thus require efficient control systems. The cost and size of sensors have limited the...
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Enhanced Quadratic Video Interpolation
With the prosperity of digital video industry, video frame interpolation has arisen continuous attention in computer vision community and become a...
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FRR-NET: a fast reparameterized residual network for low-light image enhancement
Low-light image enhancement algorithm is an important branch in the field of image enhancement algorithms. To solve the problem of severe feature...
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WallNet: Hierarchical Visual Attention-Based Model for Putty Bulge Terminal Points Detection
Construction robots have conquered the indoor and outdoor building decoration fields, aiming to automatically accomplish the manually performed tasks...
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IT2F-SEDNN: an interval type-2 fuzzy logic-based stacked ensemble deep learning approach for early phase software dependability analysis
The growing size, complexity of software systems, and complex development process pose a difficult challenge in predicting dependability attributes...
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Prostate cancer grade using self-supervised learning and novel feature aggregator based on weakly-labeled gbit-pixel pathology images
Prostate cancer (PCa) is the second most common cancer in men worldwide. The Gleason score, determined by pathologists through microscopic...
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Image denoising using channel attention residual enhanced Swin Transformer
Transformers have achieved remarkable results in high-level vision tasks, but their application in low-level computer vision tasks such as image...
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Implementation of Lattice Trapdoors on Modules and Applications
We develop and implement efficient Gaussian preimage sampling techniques on module lattices, which rely on the works of Micciancio and Peikert in...
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A Transformer-Based U-Net Architecture for Fast and Efficient Image Demoireing
Recently, transformer based deep neural networks have been found useful in solving various image restoration tasks like image denoising, deblurring,...