Towards Learning Affine-Invariant Representations via Data-Efficient CNNs

Xenju Xu, Guanghui Wang, Alan Sullivan +1

In this paper we propose integrating a priori knowledge into both design and training of convolutional neural networks (CNNs) to learn object representations that are invariant to…