Search Results for author: Peter Hofstee

Found 4 papers, 1 papers with code

An Attention Module for Convolutional Neural Networks

no code implementations18 Aug 2021 Zhu Baozhou, Peter Hofstee, Jinho Lee, Zaid Al-Ars

To solve the two problems together, we initially propose an attention module for convolutional neural networks by developing an AW-convolution, where the shape of attention maps matches that of the weights rather than the activations.

Image Classification Object +2

SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks

no code implementations11 Sep 2020 Zhu Baozhou, Peter Hofstee, Jinho Lee, Zaid Al-Ars

Inspired by the shortcuts and fractal architectures, we propose two Shortcut-based Fractal Architectures (SoFAr) specifically designed for BCNNs: 1. residual connection-based fractal architectures for binary ResNet, and 2. dense connection-based fractal architectures for binary DenseNet.

Binarization

NASB: Neural Architecture Search for Binary Convolutional Neural Networks

no code implementations8 Aug 2020 Baozhou Zhu, Zaid Al-Ars, Peter Hofstee

In this paper, we propose a strategy, named NASB, which adopts Neural Architecture Search (NAS) to find an optimal architecture for the binarization of CNNs.

Binarization Neural Architecture Search

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