7 citations · 35 across the 15 of their papers we have counts for
7 papers · 1 filter
Towards an Automatic Diagnosis of Peripheral and Central Palsy Using Machine Learning on Facial Features
C. V. Vletter, H. L. Burger, H. Alers +2
Central palsy is a form of facial paralysis that requires urgent medical attention and has to be differentiated from other, similar conditions such as peripheral palsy. To aid in f…
An Attention Module for Convolutional Neural Networks
Zhu Baozhou, Peter Hofstee, Jinho Lee +1
Attention mechanism has been regarded as an advanced technique to capture long-range feature interactions and to boost the representation capability for convolutional neural networ…
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
Baozhou Zhu, Peter Hofstee, Johan Peltenburg +2
Data-free compression raises a new challenge because the original training dataset for a pre-trained model to be compressed is not available due to privacy or transmission issues.…
SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks
Zhu Baozhou, Peter Hofstee, Jinho Lee +1
Binary Convolutional Neural Networks (BCNNs) can significantly improve the efficiency of Deep Convolutional Neural Networks (DCNNs) for their deployment on resource-constrained pla…
Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation
Baozhou Zhu, Zaid Al-Ars, Wei Pan
Binary Convolutional Neural Networks (CNNs) can significantly reduce the number of arithmetic operations and the size of memory storage, which makes the deployment of CNNs on mobil…
NASB: Neural Architecture Search for Binary Convolutional Neural Networks
Baozhou Zhu, Zaid Al-Ars, Peter Hofstee
Binary Convolutional Neural Networks (CNNs) have significantly reduced the number of arithmetic operations and the size of memory storage needed for CNNs, which makes their deploym…