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HDRD-Net: High-resolution detail-recovering image deraining network
Image deraining aims to restore the clean scenes of rainy images, which facilitates a number of outdoor vision systems, such as autonomous driving,...
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High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection
Infrared small-dim object detection is a challenging task due to the small size, weak features, lack of prominent structural information, and...
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Iris-LAHNet: a lightweight attention-guided high-resolution network for iris segmentation and localization
Iris recognition models that can be deployed on mobile devices have further requirements for both model scale and accuracy. We note that iris...
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ArtFacePoints: High-Resolution Facial Landmark Detection in Paintings and Prints
Facial landmark detection plays an important role for the similarity analysis in artworks to compare portraits of the same or similar artists. With...
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SuperVessel: Segmenting High-Resolution Vessel from Low-Resolution Retinal Image
Vascular segmentation extracts blood vessels from images and serves as the basis for diagnosing various diseases, like ophthalmic diseases....
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Deep convolutional encoder–decoder networks based on ensemble learning for semantic segmentation of high-resolution aerial imagery
Due to the complexity of object information and optical conditions of high-resolution aerial imagery, it is difficult to obtain fine semantic...
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Strategy and Feasibility Study for the Construction of High Resolution Images Adversarial Against Convolutional Neural Networks
Convolutional Neural Networks, that perform image recognition, assess images by first resizing them to their fitting input size. In particular, high...
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A novel method for vehicle detection in high-resolution aerial remote sensing images using YOLT approach
Owing to the innovative challenge stood by an intergovernmental military alliance, we have proposed a model to find novel solutions in the areas of...
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Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
Salient object detection (SOD) has been in the spotlight recently, yet has been studied less for high-resolution (HR) images. Unfortunately, HR...
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An imaging algorithm for high-resolution imaging sonar system
Multireceiver synthetic aperture sonar (SAS) can produce high-resolution images by coherently superposing successive echoed signal. However,...
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SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II
Today is a reality that the novel coronavirus SARS-Cov-2 has become a global pandemic. For this reason, the study of real microscopic images of this...
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High-resolution network with an auxiliary channel for 2D hand pose estimation
High-resolution networks have been applied in various fields because of their advanced architecture. However, multiple multi-scale fusions of high...
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Eye Centre Localisation with Convolutional Neural Networks in High- and Low-Resolution Images
Eye centre localisation is critical to eye tracking systems of various forms and with applications in variety of disciplines. An active eye tracking...
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Introducing a New High-Resolution Handwritten Digits Data Set with Writer Characteristics
The contributions in this article are two-fold. First, we introduce a new handwritten digit data set that we collected. It contains high-resolution...
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Exploring class-agnostic pixels for scribble-supervised high-resolution salient object detection
Successful salient object detection is largely dependent on large-scale fine-grained annotated datasets. However, pixel-level annotation is a...
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Poly-cam: high resolution class activation map for convolutional neural networks
The demand for explainable AI continues to rise alongside advancements in deep learning technology. Existing methods such as convolutional neural...
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Parallel and distributed processing for high resolution agricultural tomography based on big data
In the field of high-resolution tomography, there is currently a notable increase in the volume of tomographic projections and data produced. Such a...
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Human emotion recognition based on facial expressions via deep learning on high-resolution images
Detecting human emotion based on facial expression is considered a hard task for the computer vision community because of many challenges such as the...
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Ultra-High Resolution Image Segmentation via Locality-Aware Context Fusion and Alternating Local Enhancement
Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications. In this paper, we...
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Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction
Early diagnosis and accurate prognosis of colorectal cancer is critical for determining optimal treatment plans and maximizing patient outcomes,...
