1 code implementation • 4 Jun 2020 • George Retsinas, Athena Elafrou, Georgios Goumas, Petros Maragos
Pruning neural networks has regained interest in recent years as a means to compress state-of-the-art deep neural networks and enable their deployment on resource-constrained devices.
no code implementations • 28 May 2019 • George Retsinas, Athena Elafrou, Georgios Goumas, Petros Maragos
In this paper, we introduce Channel-wise recurrent convolutional neural networks (RecNets), a family of novel, compact neural network architectures for computer vision tasks inspired by recurrent neural networks (RNNs).