10 Result(s)
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Article
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification
Real-world data are long-tailed, the lack of tail samples leads to a significant limitation in the generalization ability of the model. Although numerous approaches of class re-balancing perform well for moder...
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Article
Knowledge distillation-based performance transferring for LSTM-RNN model acceleration
The sequence data processing, such as signal classification, is an important part of pattern recognition. Long short-term memory recurrent neural networks (LSTM-RNN) are widely applicable across the sequence d...
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Article
Depth map super-resolution based on edge-guided joint trilateral upsampling
Depth image super-resolution (DISR) is a significant yet challenging task. In this paper, we propose a novel edge-guided framework for color-guided DISR aiming at reducing the artifacts caused by the introduce...
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Chapter and Conference Paper
Multi-scale Spatial Aggregation Network for Remote Sensing Image Segmentation
Semantic segmentation of remote sensing images is of great significance to the interpretation of remote sensing images. Recently, convolutional neural networks have been increasingly used in this task since it...
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Article
Open AccessPansharpening based on convolutional autoencoder and multi-scale guided filter
In this paper, we propose a pansharpening method based on a convolutional autoencoder. The convolutional autoencoder is a sort of convolutional neural network (CNN) and objective to scale down the input dimens...
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Article
Co-learning saliency detection with coupled channels and low-rank factorization
In this paper, a co-learning saliency detection method is proposed via coupled channels and low-rank factorization, by imitating the structural sparse coding and cooperative processing mechanism of two dorsal ...
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Article
Deep geometric convolutional network for automatic modulation classification
A recent trend of automatic modulation classification is to automatically learn high-level abstraction of signals, instead of manually designing features for further classification. In this paper, we propose a...
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Chapter and Conference Paper
ROS-Gazebo Supported Platform for Tag-in-Loop Indoor Localization of Quadrocopter
Localization and navigation inside GPS-denied buildings has been one of the main technological challenges of quadrocopter researches. Hereafter, this paper proposes and develops a supporting research platform ...
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Chapter and Conference Paper
Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound
We present the first automatic solution for localizing fetal abdominal standard plane (FASP) in consecutive 2D ultrasound images. FASP is located in the presence of three key anatomies detected by learning bas...
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Chapter and Conference Paper
Online Sequential Extreme Learning of Sparse Ridgelet Kernel Regressor for Nonlinear Time-Series Prediction
In this paper, inspired by Multiscale Geometric Analysis (MGA), a Sparse Ridgelet Kernel Regressor (SRKR) is constructed by combing ridgelet theory with kernel trick. Considering the preferable future of seque...
