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   Articles with "depthwise separable" as a keyword



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A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans

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recommendations! Published in 2021 at "Computers in Biology and Medicine"

DOI: 10.1016/j.compbiomed.2021.104837

Abstract: Coronavirus disease 2019 (COVID-19) has caused more than 3 million deaths and infected more than 170 million individuals all over the world. Rapid identification of patients with COVID-19 is the key to control transmission and… read more here.

Keywords: depthwise separable; attention module; network; block attention ... See more keywords
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3D Medical Image Classification with Depthwise Separable Networks

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recommendations! Published in 2019 at "Procedia Manufacturing"

DOI: 10.1016/j.promfg.2020.01.369

Abstract: Abstract This research studies a dilated depthwise separable convolution neural network (DSCN) model to identify human tissue types from 3D medical images. 3D medical image classification is a challenging task due to the unpredictable noise… read more here.

Keywords: depthwise separable; classification; image; image classification ... See more keywords
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Brain Tumor Segmentation Using Partial Depthwise Separable Convolutions

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3223654

Abstract: Gliomas are the most common and aggressive form of all brain tumors, with medial survival rates of less than two years for the highest grade. While accurate and reproducible segmentation of brain tumors is paramount… read more here.

Keywords: brain tumor; depthwise separable; tumor segmentation; brain ... See more keywords
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DESEM: Depthwise Separable Convolution-Based Multimodal Deep Learning for In-Game Action Anticipation

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3271282

Abstract: In real-time strategy (RTS) games, to defeat their opponents, players need to choose and implement the correct sequential actions. Because RTS games like StarCraft II are real-time, players have a very limited time to choose… read more here.

Keywords: depthwise separable; game; separable convolution; convolution based ... See more keywords
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A Depthwise Separable Fully Convolutional ResNet With ConvCRF for Semisupervised Hyperspectral Image Classification

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recommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3073661

Abstract: Hyperspectral images classification relies on the accurate and efficient extraction of discriminative features, detail preservation, and efficient learning with limited training samples. This article, therefore, presents an advanced neural network architecture combined with convolutional conditional… read more here.

Keywords: fully convolutional; separable fully; image; classification ... See more keywords
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Depthwise Separable ResNet in the MAP Framework for Hyperspectral Image Classification

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.3033149

Abstract: To build small and efficient neural networks for hyperspectral image (HSI) classification, this letter presents a depthwise separable residual neural network (ResNet). This approach, motivated by the popular MobileNet architecture, decomposes the traditional spatial-spectral convolution… read more here.

Keywords: map framework; depthwise separable; resnet; classification ... See more keywords
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An FPGA-Based Energy-Efficient Reconfigurable Depthwise Separable Convolution Accelerator for Image Recognition

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recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2022.3180553

Abstract: With the advances in massive computing ability and big data science, deep neural network (DNN) has been developing rapidly for different applications. However, due to its extensive computation and memory usage requirements, it calls for… read more here.

Keywords: depthwise separable; energy; accelerator; energy efficient ... See more keywords
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A Novel Framework for Melanoma Lesion Segmentation Using Multiparallel Depthwise Separable and Dilated Convolutions with Swish Activations

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recommendations! Published in 2023 at "Journal of Healthcare Engineering"

DOI: 10.1155/2023/1847115

Abstract: Skin cancer remains one of the deadliest kinds of cancer, with a survival rate of about 18–20%. Early diagnosis and segmentation of the most lethal kind of cancer, melanoma, is a challenging and critical task.… read more here.

Keywords: novel framework; framework melanoma; segmentation; depthwise separable ... See more keywords
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Facial Mask Detection Using Depthwise Separable Convolutional Neural Network Model During COVID-19 Pandemic

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recommendations! Published in 2022 at "Frontiers in Public Health"

DOI: 10.3389/fpubh.2022.855254

Abstract: Deep neural networks have made tremendous strides in the categorization of facial photos in the last several years. Due to the complexity of features, the enormous size of the picture/frame, and the severe inhomogeneity of… read more here.

Keywords: mobilenet; network; depthwise separable; convolutional neural ... See more keywords
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Fast and Accurate Algorithm for ECG Authentication Using Residual Depthwise Separable Convolutional Neural Networks

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recommendations! Published in 2020 at "Applied Sciences"

DOI: 10.3390/app10093304

Abstract: The electrocardiogram (ECG) is relatively easy to acquire and has been used for reliable biometric authentication. Despite growing interest in ECG authentication, there are still two main problems that need to be tackled, i.e., the… read more here.

Keywords: depthwise separable; fast accurate; authentication; separable convolutional ... See more keywords
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Yolo-Light: Remote Straw-Burning Smoke Detection Based on Depthwise Separable Convolution and Channel Attention Mechanisms

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recommendations! Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13095690

Abstract: Straw burning is a long-term environmental problem in China’s agricultural production. At present, China relies mainly on satellite remote sensing positioning and manual patrol to detect straw burning, which are inefficient. Due to the development… read more here.

Keywords: straw burning; depthwise separable; burning smoke; detection ... See more keywords