Interpreting Vision and Language Generative Models with Semantic Visual Priors.
Michele CafagnaLina Maria Rojas-BarahonaKees van DeemterAlbert GattPublished in: CoRR (2023)
Keyphrases
- generative model
- bayesian framework
- natural language
- probabilistic model
- prior knowledge
- mixture model
- hierarchical hidden markov models
- visual patterns
- discriminative models
- hierarchical bayesian model
- discriminative learning
- computer vision
- conditional random fields
- image processing
- em algorithm
- information extraction
- visual features
- discriminative methods
- maximum entropy principle
- low level
- latent dirichlet allocation
- object categories
- visual information
- posterior probability
- active learning
- object recognition
- semi supervised
- representational power
- topic models
- expectation maximization
- generative and discriminative models
- machine learning