In our model, we present a reusable convolution set that is designed to capture as much information as possible until the feature size is reduced to 1. The use ...
In our model, we present a reusable convolution set that is designed to capture as much information as possible until the feature size is reduced to 1. The use ...
It consists of a motion representation module for capturing target poses, a cluster relation module for determining dynamic clustering information, ...
VGGreNet: A light-weight VGGNet with reused convolutional set
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This article introduces a light-weight VGGNet for deeper neural networks. In our model, we present a reusable convolution set that is designed to capture as ...
This repository has been archived by the owner on Dec 10, 2020. It is now read-only. ChanKaHou / VGGreNet Public archive.
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VGGreNet: A light-weight VGGNet with reused convolutional set. KH Chan, SK Im, W Ke. 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing ...
... VGGreNet: A Light-Weight VGGNet with Reused Convolutional Set. Chan K., Im S ... convolutional neural network for automated detection of schizophrenia ...
Oct 6, 2021 · This article provides an overview of VGG, also known as VGGNet, a classical convolutional neural network (CNN) architecture.
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VGGreNet: A light-weight VGGNet with reused convolutional set, с. 434; FlowDNN: A physics-informed deep neural network for fast and accurate flow prediction ...
A fast deep learning architecture based on dimensionality reduction and nonlinear enhancement for hyperspectral image classification.
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