Conditional Random Field Enhanced Graph Convolutional Neural Networks.
Hongchang GaoJian PeiHeng HuangPublished in: KDD (2019)
Keyphrases
- conditional random fields
- convolutional neural networks
- fully connected
- crf model
- graphical models
- long range
- higher order
- probabilistic model
- hidden markov models
- random fields
- image labeling
- generative model
- pairwise
- markov random field
- maximum entropy
- information extraction
- structured prediction
- markov networks
- sequence classification
- convolutional network
- graph structure
- undirected graph
- semantic segmentation
- directed graph
- multiscale
- directed acyclic graph
- superpixels
- latent variables
- natural images
- undirected graphical models
- semi supervised
- supervised training
- prior knowledge
- ordinal scale