Inference engines (IEs) based on convolutional neural networks (CNN) are memory intensive and computationally complex. The IEs require optimum data format for representing kernel weights and feature ...

ESC: Emulating Self-attention with Convolution for Efficient Image Super-Resolution In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR ...

This paper proposes a convolution neural network (CNN) architecture for automatic recognition of signals on the basis of their modulations for Cognitive software defined radio (SDR) applications. It ...