Hybrid Dilated Convolution with Multi-Scale Residual Fusion Network for Hyperspectral Image Classification [PDF]
Micromachines, 2021 The convolutional neural network (CNN) has been proven to have better performance in hyperspectral image (HSI) classification than traditional methods.
Chenming Li +5 more
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DAssd-Net: A Lightweight Steel Surface Defect Detection Model Based on Multi-Branch Dilated Convolution Aggregation and Multi-Domain Perception Detection Head [PDF]
Sensors, 2023 During steel production, various defects often appear on the surface of the steel, such as cracks, pores, scars, and inclusions. These defects may seriously decrease steel quality or performance, so how to timely and accurately detect defects has great ...
Ji Wang +3 more
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Dilated convolution capsule network for apple leaf disease identification [PDF]
Frontiers in Plant Science, 2022 Accurate and rapid identification of apple leaf diseases is the basis for preventing and treating apple diseases. However, it is challenging to identify apple leaf diseases due to their various symptoms, different colors, irregular shapes, uneven sizes ...
Cong Xu, Xuqi Wang, Shanwen Zhang
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A method of radar echo extrapolation based on dilated convolution and attention convolution [PDF]
Scientific Reports, 2022 The neural network method can obtain a higher precision of radar echo extrapolation than the traditional method. However, its application in radar echo extrapolation is still in the initial stage of exploration, and there is still much room for ...
Xiajiong Shen +3 more
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The super-resolution reconstruction algorithm of multi-scale dilated convolution residual network [PDF]
Frontiers in NeuroroboticsAiming at the problems of traditional image super-resolution reconstruction algorithms in the image reconstruction process, such as small receptive field, insufficient multi-scale feature extraction, and easy loss of image feature information, a super ...
Shanqin Wang +3 more
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Skin lesion segmentation with a multiscale input fusion U-Net incorporating Res2-SE and pyramid dilated convolution [PDF]
Scientific ReportsSkin lesion segmentation is crucial for identifying and diagnosing skin diseases. Accurate segmentation aids in identifying and localizing diseases, monitoring morphological changes, and extracting features for further diagnosis, especially in the early ...
Zhihui Liu +3 more
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A multi-dilated convolution network for speech emotion recognition. [PDF]
Sci RepAbstract Speech emotion recognition (SER) is an important application in the field of Affective Computing and Artificial Intelligence. Recently, there has been a significant interest in Deep Neural Networks using speech spectrograms. As the two-dimensional representation of the spectrogram includes more speech characteristics, research interest
Madanian S +6 more
europepmc +4 more sources
Dynamic Graph Convolutional Network with Dilated Convolution for Epilepsy Seizure Detection. [PDF]
Bioengineering (Basel)The electroencephalogram (EEG), widely used for measuring the brain’s electrophysiological activity, has been extensively applied in the automatic detection of epileptic seizures. However, several challenges remain unaddressed in prior studies on automated seizure detection: (1) Methods based on CNN and LSTM assume that EEG signals follow a Euclidean ...
Zhang X, Dai C, Guo Y.
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Densely Connected Pyramidal Dilated Convolutional Network for Hyperspectral Image Classification
Remote Sensing, 2021 Recently, with the extensive application of deep learning techniques in the hyperspectral image (HSI) field, particularly convolutional neural network (CNN), the research of HSI classification has stepped into a new stage.
Feng Zhao +3 more
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Hybrid Dilated and Recursive Recurrent Convolution Network for Time-Domain Speech Enhancement
Applied Sciences, 2022 In this paper, we propose a fully convolutional neural network based on recursive recurrent convolution for monaural speech enhancement in the time domain. The proposed network is an encoder-decoder structure using a series of hybrid dilated modules (HDM)
Zhendong Song +3 more
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