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Random Erasing Data Augmentation Open
In this paper, we introduce Random Erasing, a new data augmentation method for training the convolutional neural network (CNN). In training, Random Erasing randomly selects a rectangle region in an image and erases its pixels with random v…
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Random Erasing Data Augmentation Open
In this paper, we introduce Random Erasing, a new data augmentation method for training the convolutional neural network (CNN). In training, Random Erasing randomly selects a rectangle region in an image and erases its pixels with random v…
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Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks Open
Ship detection has been playing a significant role in the field of remote sensing for a long time, but it is still full of challenges. The main limitations of traditional ship detection methods usually lie in the complexity of application …
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SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis Open
SAR Ship Detection Dataset (SSDD) is the first open dataset that is widely used to research state-of-the-art technology of ship detection from Synthetic Aperture Radar (SAR) imagery based on deep learning (DL). According to our investigati…
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Location optimization of electric vehicle charging stations: Based on cost model and genetic algorithm Open
Nowadays, the development of new energy science has gradually entered a good situation, and accordingly, electric vehicles have been recognized by people all over the world and rapidly popularized in various countries. However, the rapid g…
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Detecting Curve Text in the Wild: New Dataset and New Solution Open
Scene text detection has been made great progress in recent years. The detection manners are evolving from axis-aligned rectangle to rotated rectangle and further to quadrangle. However, current datasets contain very little curve text, whi…
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MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression Open
Bounding box regression (BBR) has been widely used in object detection and instance segmentation, which is an important step in object localization. However, most of the existing loss functions for bounding box regression cannot be optimiz…
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Using deep networks for drone detection Open
Drone detection is the problem of finding the smallest rectangle that encloses the drone(s) in a video sequence. In this study, we propose a solution using an end-to-end object detection model based on convolutional neural networks. To sol…
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Effect of building shape, orientation, window to wall ratios and zones on energy efficiency and thermal comfort of naturally ventilated houses in tropical climate Open
This paper examines the effect of building shape, zones, orientation and window to wall ratio (WWR) on the lighting energy requirement and the thermal comfort in the naturally ventilated houses in tropical climate. The lighting electricity…
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Deep GrabCut for Object Selection Open
Most previous bounding-box-based segmentation methods assume the bounding box tightly covers the object of interest. However it is common that a rectangle input could be too large or too small. In this paper, we propose a novel segmentatio…
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Cross Aggregation Transformer for Image Restoration Open
Recently, Transformer architecture has been introduced into image restoration to replace convolution neural network (CNN) with surprising results. Considering the high computational complexity of Transformer with global attention, some met…
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Simultaneous switching at multiple frequencies and triple plasmon-induced transparency in multilayer patterned graphene-based terahertz metamaterial Open
A novel multilayer terahertz metamaterial composed of double rectangle, vertical single rectangle, vertical double rectangle and single rectangle graphene layer is proposed. The dynamic adjustable triple plasmon induced transparency (PIT) …
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A novel bibliometric index with a simple geometric interpretation Open
We propose the χ-index as a bibliometric indicator that generalises the h-index. While the h-index is determined by the maximum square that fits under the citation curve of an author when plotting the number of citations in decreasing orde…
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Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network Open
We introduce a new top-down pipeline for scene text detection. We propose a novel Cascaded Convolutional Text Network (CCTN) that joints two customized convolutional networks for coarse-to-fine text localization. The CCTN fast detects text…
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Handwritten Marathi Character Recognition Using R-HOG Feature Open
We use the Rectangle Histogram Oriented Gradient representation as the basis for extraction of features. These algorithms require a few simple arithmetic operations per image pixel which makes them suitable for real-time applications. Our …
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Augmented reality‐based virtual manipulatives versus physical manipulatives for teaching geometric shapes to preschool children Open
The aim of the current study is to compare the effect of virtual and physical manipulatives on preschool children’s understanding of geometric shapes. A quasi‐experimental research design was employed where children in the experimental gro…
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Automatic Building Extraction from Google Earth Images under Complex Backgrounds Based on Deep Instance Segmentation Network Open
Building damage accounts for a high percentage of post-natural disaster assessment. Extracting buildings from optical remote sensing images is of great significance for natural disaster reduction and assessment. Traditional methods mainly …
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Wideband tunable mid-infrared cross polarization converter using rectangle-shape perforated graphene Open
The strong plasmonic response and wide electrostatic tunability of graphene make it a promising material for developing infrared optoelectronic components. In this paper, we present a mid-infrared wideband tunable cross polarization conver…
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A note on generalized convex functions Open
In the article, we provide an example for a η -convex function defined on rectangle is not convex, prove that every η -convex function defined on rectangle is coordinate η -convex and its converse is not true in general, define the coordin…
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Quantification of Gel Bands by an Image J Macro, Band/Peak Quantification Tool v1 Open
This protocol offers an Image J macro/plugin that enable easy quantification of bands on western blots, dot blots, and fluorescent gels etc., by simply selecting bands with rectangle or oval tools as region of interest (ROI), and running t…
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Further ALMA observations and detailed modeling of the Red Rectangle Open
We confirm the presence of a rotating equatorial disk and an outflow, which is mainly formed of gas leaving the disk. The mass of the disk is ~ 0.01 M⊙, and that of the CO-rich outflow is around ten times smaller. High temperatures of ≳ 10…
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Study on Multi-Scale Window Determination for GLCM Texture Description in High-Resolution Remote Sensing Image Geo-Analysis Supported by GIS and Domain Knowledge Open
Texture features based on the gray-level co-occurrence matrix (GLCM) can effectively improve classification accuracy in geographical analyses of optical remote sensing (RS) images, with the parameters of scale of the GLCM texture window gr…
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On the Hermite–Hadamard inequalities for interval-valued coordinated convex functions Open
In this work, we introduce the notion of interval-valued coordinated convexity and demonstrate Hermite–Hadamard type inequalities for interval-valued convex functions on the co-ordinates in a rectangle from the plane. Moreover, we prove He…
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A SURVEY ON HEURISTICS FOR THE TWO-DIMENSIONAL RECTANGULAR STRIP PACKING PROBLEM Open
Two-dimensional rectangular strip packing problems belong to the broader class of Cutting and Packing (C&P) problems, in which small items are required to be cut from or packed on a larger object, so that the waste (unused regions of the l…
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Rapid and flexible whole body postural responses are evoked from perturbations to the upper limb during goal-directed reaching Open
An important aspect of motor control is the ability to perform tasks with the upper limbs while maintaining whole body balance. However, little is known about the coordination of upper limb voluntary and whole body postural control after m…
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Quantitatively analyzing the mechanism of giant circular dichroism in extrinsic plasmonic chiral nanostructures by tracking the interplay of electric and magnetic dipoles Open
We quantitatively analyzed the extrinsic plasmonic chirality by tracking the interplay of electric and magnetic modes which causes mixed electric and magnetic polarizability and responses for the CD.
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Improved Rectangle Attacks on SKINNY and CRAFT Open
The boomerang and rectangle attacks are adaptions of differential cryptanalysis that regard the target cipher E as a composition of two sub-ciphers, i.e., E = E1 ∘ E0, to construct a distinguisher for E with probability p2q2 by concatenati…
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Deep vision networks for real-time robotic grasp detection Open
Grasping has always been a great challenge for robots due to its lack of the ability to well understand the perceived sensing data. In this work, we propose an end-to-end deep vision network model to predict possible good grasps from real-…
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Stable Treemaps via Local Moves Open
Treemaps are a popular tool to visualize hierarchical data: items are represented by nested rectangles and the area of each rectangle corresponds to the data being visualized for this item. The visual quality of a treemap is commonly measu…
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Point-of-Interest Preference Model Using an Attention Mechanism in a Convolutional Neural Network Open
In recent years, there has been a growing interest in developing next point-of-interest (POI) recommendation systems in both industry and academia. However, current POI recommendation strategies suffer from the lack of sufficient mixing of…