Resolution learning in deep convolutional networks using scale-space theory

Silvia L. Pintea, Nergis Tomen, Stanley F. Goes +2

Resolution in deep convolutional neural networks (CNNs) is typically bounded by the receptive field size through filter sizes, and subsampling layers or strided convolutions on fea…