End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition.
Shaofei WangVishnu Suresh LokhandeManeesh SinghKonrad P. KördingJulian YarkonyPublished in: CoRR (2019)
Keyphrases
- end to end
- dual decomposition
- structured prediction
- conditional random fields
- markov random field
- energy minimization
- map inference
- max margin
- graphical models
- parameter learning
- congestion control
- probabilistic model
- training set
- markov logic
- bayesian networks
- objective function
- graph cuts
- maximum margin
- latent variables
- belief propagation
- semantic segmentation
- generative model
- image labeling
- higher order
- information extraction