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MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
Recently end-to-end scene text spotting has become a popular research to...
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Domain Adaptation of Aerial Semantic Segmentation
Semantic segmentation has achieved significant advances in recent years....
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Cascade Attentive Dropout for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) aims to classify and locate ob...
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Dense U-net for super-resolution with shuffle pooling layer
Single image super-resolution (SISR) in unconstrained environments is ch...
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DEAL: Difficulty-aware Active Learning for Semantic Segmentation
Active learning aims to address the paucity of labeled data by finding t...
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Limousine Service Management: Capacity Planning with Predictive Analytics and Optimization
The limousine service in luxury hotels is an integral component of the w...
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Regularised Text Logistic Regression: Key Word Detection and Sentiment Classification for Online Reviews
Online customer reviews have become important for managers and executive...
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Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression
Probabilistic forecasting of electricity load curves is of fundamental i...
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Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
Inspired by the development of deep learning in computer vision and obje...
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DO-Conv: Depthwise Over-parameterized Convolutional Layer
Convolutional layers are the core building blocks of Convolutional Neura...
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A two-stage framework for short-term wind power forecasting using different feature-learning models
With the growing dependence on wind power generation, improving the accu...
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GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling
Existing CNN-based methods for pixel labeling heavily depend on multi-sc...
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Stochastic Sparse Subspace Clustering
State-of-the-art subspace clustering methods are based on self-expressiv...
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On the Capacity of Fractal D2D Social Networks with Hierarchical Communications
The maximum capacity of fractal D2D (device-to-device) social networks w...
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Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement
Automated pavement crack detection and measurement are important road is...
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MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion
To efficiently extract spatiotemporal features of video for action recog...
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MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Binary Neural Networks (BNNs) are neural networks which use binary weigh...
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Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data
Real-time accurate detection of three-dimensional (3D) objects is a fund...
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Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss
Single image super-resolution (SISR) is the task of inferring a high-res...
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Direct training based spiking convolutional neural networks for object recognition
Direct training based spiking neural networks (SNNs) have been paid a lo...
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Bee^+: A 95-mg Four-Winged Insect-Scale Flying Robot Driven by Twinned Unimorph Actuators
We introduce Bee^+, a 95-mg four-winged microrobot with improved control...
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CloudPSS: A High-Performance Power System Simulator Based on Cloud Computing
With the increasing computations in power system simulations, high-perfo...
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Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint
In this paper, a multi-scale framework with local region based active co...
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M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Feature pyramids are widely exploited by both the state-of-the-art one-s...
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Outcome-wide longitudinal designs for causal inference: a new template for empirical studies
In this paper we propose a new template for empirical studies intended t...
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Fundamentals on Base Stations in Cellular Networks: From the Perspective of Algebraic Topology
In recent decades, the deployments of cellular networks have been going ...
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Contribution of Glottal Waveform in Speech Emotion: A Comparative Pairwise Investigation
In this work, we investigated the contribution of the glottal waveform i...
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MES-P: an Emotional Tonal Speech Dataset in Mandarin Chinese with Distal and Proximal Labels
Emotion shapes all aspects of our interpersonal and intellectual experie...
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Study on Base Station Topology in Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics
Faced with the ever-increasing trend of the cellular network scale, how ...
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Bias Correction Estimation for Continuous-Time Asset Return Model with Jumps
In this paper, local linear estimators are adapted for the unknown infin...
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Parity-Check Polar Coding for 5G and Beyond
In this paper, we propose a comprehensive Polar coding solution that int...
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C-arm Tomographic Imaging Technique for Nephrolithiasis and Detection of Kidney Stones
In this paper, we investigated a C-arm tomographic technique as a new th...
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Spread spectrum compressed sensing MRI using chirp radio frequency pulses
Compressed sensing has shown great potential in reducing data acquisitio...
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