Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency

Elad Hoffer, Berry Weinstein, Itay Hubara +3

Convolutional neural networks (CNNs) are commonly trained using a fixed spatial image size predetermined for a given model. Although trained on images of aspecific size, it is well…