Scalable Uncertainty for Computer Vision With Functional Variational Inference.
Eduardo D. C. CarvalhoRonald ClarkAndrea NicastroPaul H. J. KellyPublished in: CVPR (2020)
Keyphrases
- variational inference
- computer vision
- bayesian inference
- probabilistic model
- topic models
- variational methods
- probabilistic graphical models
- posterior distribution
- latent dirichlet allocation
- mixture model
- gaussian process
- exponential family
- exact inference
- closed form
- image processing
- machine learning
- approximate inference
- optical flow
- conditional probabilities
- image segmentation
- latent variables
- belief functions
- factor graphs
- prior information
- image matching
- graphical models
- image sequences
- feature selection