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Learning High-resolution Delay-and-sum Beamforming
Ultrasound (US) imaging is a versatile tool in modern healthcare diagnostics that often faces spatial resolution challenges. Although ultrasound...
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Meta-HRNet: A High Resolution Network for Coarse-to-Fine Few-Shot Classification
Fine-grained classification has achieved success with the application of deep learning on large datasets. However, in practical scenarios,...
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Dual-path Processing Network for High-resolution Salient Object Detection
In the trend of deep learning, salient object detection (SOD) has achieved preeminent performance over the years. Nevertheless, scant work has been...
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Efficient High-Resolution Human Pose Estimation
As a fundamental task of computer vision, human pose estimation (HPE) has achieved significant improvement with the rise of deep learning. However,...
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HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to adapt a model trained on the source domain (e.g. synthetic data) to the target domain (e.g. real-world...
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Learning-based and quality preserving super-resolution of noisy images
Purpose: Several applications require the super-resolution of noisy images and the preservation of geometrical and texture features. State-of-the-art...
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Automated COVID-19 Detection from Chest X-Ray Images: A High-Resolution Network (HRNet) Approach
The pandemic, originated by novel coronavirus 2019 (COVID-19), continuing its devastating effect on the health, well-being, and economy of the global...
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MS-HRNet: multi-scale high-resolution network for human pose estimation
Human pose estimation has important applications in medical diagnosis (such as early diagnosis of autism in children and assisting with the diagnosis...
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UTRNet: High-Resolution Urdu Text Recognition in Printed Documents
In this paper, we propose a novel approach to address the challenges of printed Urdu text recognition using high-resolution, multi-scale semantic...
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Semi-automatic Labeling of Satellite Images Using Texture Features and Hough Circle Transformation
In order to extract valuable ground information from images, supervised classification is an extensively adopted technique. However, it has a...
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Neural Network Method for Detecting Blur in Histological Images
AbstractIn this paper we consider the problem of detecting blurred regions in high-resolution whole slide histologic images. The proposed method is...
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AAUNet: An Attention Augmented Convolution Based UNet for Change Detection in High Resolution Satellite Images
Infrastructure surveillance, topographic map-making, urban dynamics, and town planning applications all use high resolution satellite (HRS) imagery...
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Effectiveness of Blind Face Restoration to Boost Face Recognition Performance at Low-Resolution Images
This paper studies the effectiveness of Blind Face Restoration methods to boost the performance of face recognition systems on low-resolution images....
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Cloud detection of high-resolution remote sensing image based on improved U-Net
Cloud detection is an important part of remote sensing image processing. Excellent cloud detection methods can accurately extract clouds from remote...
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Group Sparsity Regularized High Order Tensor for HSIs Super-Resolution
Super-resolution of hyperspectral images is a crucial task in remote sensing applications. In this paper, we propose a group sparsity regularized...
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Deblurring Low-Light Images with Events
Modern image-based deblurring methods usually show degenerate performance in low-light conditions since the images often contain most of the poorly...
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A Novel Method to Improve the Resolution of FLASH ADC for High-Resolution and High-Speed Applications
In this paper, a new technique is proposed to increase the resolution of ADC by adding an external peripheral circuit. The peripheral circuit gives...
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Enhanced multi-level features for very high resolution remote sensing scene classification
Very high resolution (VHR) remote sensing (RS) scene classification is a challenging task due to the higher inter-class similarity and intra-class...
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Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization
While hematoxylin and eosin (H &E) is a standard staining procedure, immunohistochemistry (IHC) staining further serves as a diagnostic and...
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U-Nets and Multispectral Images for Detecting the Surface Water of Rivers via SAR Images
Global water resources are under increasing pressure due to demands from population growth and climate change. As a result, the regime of the rivers...