Transfer learning with generative models for object detection on limited datasets.
Matteo PaianoStefano MartinaCarlotta GiannelliFilippo CarusoPublished in: CoRR (2024)
Keyphrases
- transfer learning
- generative model
- object detection
- object categories
- discriminatively trained
- learning tasks
- hierarchical bayesian model
- discriminative models
- labeled data
- probabilistic model
- discriminative learning
- semi supervised
- semi supervised learning
- reinforcement learning
- active learning
- cross domain
- em algorithm
- collaborative filtering
- restricted boltzmann machine
- machine learning algorithms
- prior knowledge
- conditional random fields
- topic models
- text categorization
- object class
- structure learning
- unlabeled data
- machine learning
- multi task
- text classification
- target domain
- text mining
- multi class
- learning algorithm
- latent dirichlet allocation
- data mining
- learning process
- object recognition