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Published in 2020 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-019-1014-4
Abstract: Advances in convolutional neural networks (CNNs) have driven the development of computer vision. Recent CNN architectures, such as those with skip residual connections (ResNets) or densely connected architectures (DenseNets), have facilitated backpropagation and improved the…
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Keywords:
neural network;
deep convolutional;
network architectures;
cnn ... See more keywords
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Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.781786
Abstract: With recent advances in the field of artificial intelligence (AI) such as binarized neural networks (BNNs), a wide variety of vision applications with energy-optimized implementations have become possible at the edge. Such networks have the…
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Keywords:
cnn architectures;
hardware;
stochastic binary;
efficient stochastic ... See more keywords