Nov 18, 2018 · Depthwise separable convolution (DSC) was proposed to reduce computation especially in convolutional layers by separating one convolution into a ...
Dec 13, 2018 · Depthwise separable convolution (DSC) was proposed to reduce computation especially in convolutional layers by separating one convolution into a ...
A faster version of DSC, FastDSC is proposed by replacing the pointwise convolution with general matrix multiplication and Experiments on the NVIDIA Jetson ...
... Depthwise convolutions apply a single filter per input channel (filters), this results in a lower amount of computation when compared to the standard ...
Jun 14, 2022 · Depthwise separable convolutions (DSC) have been widely deployed in lightweight convolutional neural networks due to high efficiency.
Dec 1, 2021 · The depthwise separable convolution splits a kernel into two discrete filters for filtering and combining stages respectively as shown in Figure ...
In particular, our usage of depthwise separable convolution in the decoder differentiates us from existing approaches and enables us to develop an architecture ...
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Sep 17, 2024 · Depthwise separable convolutions are particularly prominent in models designed for mobile and edge computing, like the MobileNet architectures.
MobileNetV1 is a network launched by Google in 2017 for use on mobile devices or embedded devices. The network replaces the depthwise separable convolution.
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Abstract. A keyword spotting algorithm implemented on an embedded system using a depthwise separable convolutional neural network classifier is reported.