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   Articles with "separable convolution" as a keyword



A Channel Pruning Algorithm Based on Depth-Wise Separable Convolution Unit

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2956976

Abstract: Deep learning has made significant progress in many fields such as image identification, speech recognition and natural language processing, especially in the field of computer vision. The better performance of the neural network often built… read more here.

Keywords: channel pruning; separable convolution; pruning algorithm; depth wise ... See more keywords

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

Lightweight Gesture Recognition Based on Depthwise Separable Convolution and FECAM Attention Mechanism for sEMG

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3608298

Abstract: Surface electromyography (sEMG) is a promising approach for noninvasive gesture recognition in human–computer interaction and rehabilitation. However, existing high-accuracy models often incur high-computational costs, thereby limiting real-time deployment. To address this, we propose FSGR-Net, a… read more here.

Keywords: convolution; attention mechanism; gesture recognition; mechanism ... See more keywords

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

Mobile-X: Dedicated FPGA Implementation of the MobileNet Accelerator Optimizing Depthwise Separable Convolution

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recommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2024.3440884

Abstract: MobileNet proposed depthwise separable convolution (DSC) as a replacement for standard convolution (SC), achieving significant reductions in parameters and computational complexity compared with traditional convolutional neural network (CNN) models. Recently, there has been a growing… read more here.

Keywords: accelerator; mobilenet; convolution; depthwise separable ... See more keywords

FSCNN: Fuzzy Channel Filter-Based Separable Convolution Neural Networks for Medical Imaging Recognition

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recommendations! Published in 2024 at "IEEE Transactions on Fuzzy Systems"

DOI: 10.1109/tfuzz.2024.3450000

Abstract: Intraclass heterogeneity of medical diagnostic objects poses a challenge for accurate intraclass classification of medical fine-grained images (MFGIs) within deep learning. To accurately classify MFGIs, we propose a novel approach termed fuzzy channel filter-based separable… read more here.

Keywords: channel filter; based separable; separable convolution; fuzzy channel ... See more keywords

Gradient Prior-Aided CNN Denoiser With Separable Convolution-Based Optimization of Feature Dimension

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recommendations! Published in 2019 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2018.2859791

Abstract: We propose a novel image denoising method based on a convolutional neural network (CNN), which uses the separable convolution and the gradient prior to reduce the computational complexity while enhancing the denoising performance. The proposed… read more here.

Keywords: cnn denoiser; convolution; feature; gradient prior ... See more keywords

Accelerating hologram generation using oriented-separable convolution and wavefront recording planes.

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recommendations! Published in 2022 at "Optics express"

DOI: 10.1364/oe.472121

Abstract: Recently, holographic displays have gained attention owing to their natural presentation of three-dimensional (3D) images; however, the enormous amount of computation has hindered their applicability. This study proposes an oriented-separable convolution accelerated using the wavefront-recording… read more here.

Keywords: wavefront recording; oriented separable; separable convolution; accelerating hologram ... See more keywords

An Accurate and Efficient Diabetic Retinopathy Diagnosis Method via Depthwise Separable Convolution and Multi-View Attention Mechanism

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recommendations! Published in 2025 at "Applied Sciences"

DOI: 10.3390/app15179298

Abstract: Diabetic retinopathy (DR), a critical ocular disease that can lead to blindness, demands early and accurate diagnosis to prevent vision loss. Current automated DR diagnosis methods face two core challenges: first, subtle early lesions such… read more here.

Keywords: diagnosis; dataset; convolution multi; diabetic retinopathy ... See more keywords