DARNet: Deep Active Ray Network for Building Segmentation

CVPR 2019 Dominic ChengRenjie LiaoSanja FidlerRaquel Urtasun

In this paper, we propose a Deep Active Ray Network (DARNet) for automatic building segmentation. Taking an image as input, it first exploits a deep convolutional neural network (CNN) as the backbone to predict energy maps, which are further utilized to construct an energy function... (read more)

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