Deep Gaussian Processes for Few-Shot Segmentation.
Joakim JohnanderJohan EdstedtMartin DanelljanMichael FelsbergFahad Shahbaz KhanPublished in: CoRR (2021)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- multitask learning
- covariance function
- ordinal regression
- relevance vector machine
- preference learning
- multi task
- multi task learning
- human pose estimation
- gaussian process models
- hyperparameters
- bayesian framework
- regression model
- maximum likelihood
- prior knowledge
- reinforcement learning
- machine learning