We define and detail the space of fully convolutional networks, explain their application to spatially dense prediction tasks, and draw connections to prior models. Jonathan Long, et al., "Fully Convolutional Networks for Semantic Segmenta…

Our key insight is to build “fully convolutional” networks that take input of arbitrary size and produce correspondingly-sized output with efficient inference and learning. Jonathan Long, et al., "Fully Convolutional Networks for Semantic …

We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, exceed the state-of-the-art in semantic segmentation. Jonathan Long, et al., "Fully Convolutional Networks for Semantic Segmentation" https://arxiv.or…