U-Net

An encoder-decoder CNN with skip connections between corresponding encoder and decoder layers, originally designed for medical image segmentation. The skip connections preserve fine spatial details lost during downsampling. U-Net architectures are used in robot perception for dense prediction tasks: depth estimation, segmentation, and affordance prediction.