Scalable Uncertainty for Computer Vision with Functional Variational Inference.
Eduardo D. C. CarvalhoRonald ClarkAndrea NicastroPaul H. J. KellyPublished in: CoRR (2020)
Keyphrases
- variational inference
- computer vision
- bayesian inference
- topic models
- probabilistic model
- posterior distribution
- latent dirichlet allocation
- gaussian process
- probabilistic graphical models
- closed form
- mixture model
- variational methods
- image processing
- exponential family
- image segmentation
- factor graphs
- image matching
- graphical models
- bayesian framework
- generative model
- exact inference
- optical flow
- machine learning
- hyperparameters
- least squares
- motion estimation
- multiscale