2018
Eadnet: Efficient Architecture for Decomposed Convolutional Neural Networks
ICASSP 2018accepted
Convolutional neural networks (CNNs) are widely used in various intelligent tasks. However, the huge computational complexity of CNNs makes it hard to be implemented in many real-time embedded devices. Various methods have been employed to reduce the model size of CNNs, where the Canonical Polyadic…