13,175 Result(s)
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He** Lin
Computer Science
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Article
Open AccessRetraction Note: Robust adversarial uncertainty quantification for deep learning fine-tuning
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Article
CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection
Recently, segmentation-based methods are quite popular in scene text detection, which mainly contain two steps: text kernel segmentation and expansion. However, the segmentation process only considers each pix...
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FCNet: a deep neural network based on multi-channel feature cascading for image denoising
A lot of current work based on convolutional neural networks (CNNs) has fetched good visual results on AWGN (additive white Gaussian noise) removal. However, ordinary neural networks are unable to recover deta...
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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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GRFS-YOLOv8: an efficient traffic sign detection algorithm based on multiscale features and enhanced path aggregation
Traffic sign detection is a crucial element of advanced driver assistance systems (ADAS) for environmental perception. However, challenges persist in the detection of small-scale targets and susceptibility to ...
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AHC-Net: a road crack segmentation network based on dual attention mechanism and multi-feature fusion
To solve the problem of incomplete and inaccurate pavement crack detection, an improved U-Net model based on dual attention mechanism and multi-feature fusion is proposed. Firstly, a new encoding module ACI is...
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Article
CMEFS: chaotic map**-based mayfly optimization with fuzzy entropy for feature selection
Swarm intelligence algorithms availably settle the issue of feature selection for classification, whereas the Mayfly Optimization Algorithm (MOA) proposed in recent years has the superiority of high precision,...
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Robust Heterogeneous Model Fitting for Multi-source Image Correspondences
Traditional feature detection and description methods, such as scale-invariant feature transform, are susceptible to nonlinear radiation distortions (NRDs) and geometric distortions (GDs), which in turn genera...
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Research of hybrid path planning with improved A* and TEB in static and dynamic environments
In this study, we introduce a new approach to path planning suitable for both static and dynamic environments. Our method combines the Obstacle Avoidance Improved A* (OA-IA*) algorithm with the Time Elastic Ba...
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Transferable map** shift network for unsupervised domain adaptation using in vibration signal fault diagnosis under variable conditions
Unsupervised domain adaptation as one of the popular techniques of deep transfer learning used to tackle the model performance suffers the domain gap between the source and target data, and it is recently deve...
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Article
A shrinkage adaptive filtering algorithm with graph filter models
In this study, we focus on an adaptive filtering algorithm that utilizes variable step-size and incorporates graph filter models within the realm of graph signal processing. The algorithm optimizes the step-si...
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GCT-YOLOv5: a lightweight and efficient object detection model of real-time side-scan sonar image
Due to the high imaging resolution and large detection area, side-scan sonar (SSS) has a wide range of applications in underwater detection, such as shipwreck and wrecked aircraft search and rescue. However, l...
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A novel optimization method: wave search algorithm
This paper proposes a novel optimization method inspired by radar technology: wave search algorithm (WSA). The WSA algorithm not only draws on radar technology for its unique algorithmic design for the first t...
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Article
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Multi-label image recognition with partial labels (MLR-PL), in which some labels are known while others are unknown for each image, may greatly reduce the cost of annotation and thus facilitate large-scale MLR...
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Multi-source-free Domain Adaptive Object Detection
To enhance the transferability of object detection models in real-world scenarios where data is sampled from disparate distributions, considerable attention has been devoted to domain adaptive object detection...
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A column-shared histogramming TDC with pixel-to-pixel coincidence detection and compact analog counters for Flash LiDAR sensor
This study presents a column-shared hTDC with pixel-to-pixel coincidence detection and compact analog pulse counters. The column-shared architecture allows the hTDC to have no large area consumption caused by ...
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Article
A side match oriented data hiding based on absolute moment block truncation encoding mechanism with reversibility
Owing to life style changes during COVID, communication channels were forced to change. Online services ramped up to replace traditional services. It became daily practice for most of us that documents, files,...
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Article
A novel dual-branch Alzheimer’s disease diagnostic model based on distinguishing atrophic patch localization
Magnetic resonance imaging (MRI), a non-ionizing radiation imaging method, is widely utilized in diagnosing Alzheimer’s disease (AD) due to its excellent imaging ability for brain soft tissues and high-resolut...
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Open AccessOmni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by combining artificial-intelligence technology with X-ray ima...
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Open AccessRecent advances in 3D Gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) that represent a 3D scene wit...
