Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets.
Addisson SalazarLuis VergaraGonzalo SafontPublished in: Expert Syst. Appl. (2021)
Keyphrases
- markov random field
- graph cuts
- energy function
- belief propagation
- mrf model
- random fields
- pairwise
- maximum a posteriori
- image segmentation
- parameter estimation
- higher order
- map inference
- energy minimization
- conditional random fields
- image restoration
- generative model
- efficient inference
- message passing
- markov networks
- loopy belief propagation
- potential functions
- textured images
- low level vision
- piecewise constant functions
- graphical models
- network model
- map estimation
- machine learning
- object recognition
- image analysis