Iterative Deep Learning for Network Topology Extraction
arXiv: Computer Vision and Pattern Recognition, Volume abs/1712.01217, 2017.
This paper tackles the task of estimating the topology of filamentary networks such as retinal vessels and road networks. Building on top of a global model that performs a dense semantical classification of the pixels of the image, we design a Convolutional Neural Network (CNN) that predicts the local connectivity between the central pixe...More
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