Can N-dimensional convolutional neural networks distinguish men and women better than humans do?

Abstract

Convolutional neural networks (CNN) were able to beat human performance in various areas of 2D image recognition, e.g., in the German Traffic Sign competition run by IJCNN 2011. While the majority of classical image processing techniques is based on carefully pre-selected image features, CNNs are designed to learn local features autonomously. A growing… (More)
DOI: 10.1109/IJCNN.2013.6707101

Topics

11 Figures and Tables

Slides referencing similar topics