2019
Recurrent U-Net for Resource-Constrained Segmentation
ICCV 2019poster
State-of-the-art segmentation methods rely on very deep networks that are not always easy to train without very large training datasets and tend to be relatively slow to run on standard GPUs. In this paper, we introduce a novel recurrent U-Net architecture that preserves the compactness of the origi…