Convolutional CRFs for Semantic Segmentation

1 code implementation • ICLR 2019 • Marvin T. T. Teichmann, Roberto Cipolla

For the challenging semantic image segmentation task the most efficient models have traditionally combined the structured modelling capabilities of Conditional Random Fields (CRFs) with the feature extraction power of CNNs.

Image Segmentation Segmentation +1