Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model.
Yihong SunAdam KortylewskiAlan L. YuillePublished in: CVPR (2022)
Keyphrases
- bayesian model
- bayesian inference
- prior probabilities
- image segmentation
- bayesian framework
- probability distribution
- level set
- posterior distribution
- conditional probabilities
- prior information
- random variables
- dirichlet process mixture models
- multi task learning
- generative model
- multi class
- closed form
- image processing
- machine learning