Abstract: We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output ...
A gentle-sounding boy’s name with ancient roots is nudging its way into modern lists, soothing nerves and splitting fewer ...
Abstract: We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of ...