This paper introduces Progressively Diffused Networks (PDNs) for unifying multi-scale context modeling with deep feature learning, by taking semantic image segmentation as an exemplar application. Prior neural networks such as ResNet [11] tend to enhance representational power by increasing the depth of architectures and driving the training objective across layers. However, we argue that spati...
