This paper introduces Rotational Convolution, a novel convolution that rotates the convolution kernel by characteristics of downside fisheye images. With the four rotation states of the convolution ...

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 ...