Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation

24 May 2018 Cristina Mata Guy Ben-Yosef Boris Katz

Many deep learning architectures for semantic segmentation involve a Fully Convolutional Neural Network (FCN) followed by a Conditional Random Field (CRF) to carry out inference over an image. These models typically involve unary potentials based on local appearance features computed by FCNs, and binary potentials based on the displacement between pixels... (read more)

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