Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers.
Manuel LagunasBrayan ImpataVictor MartinezVirginia FernandezChristos GeorgakisSofia BraunFelipe BertrandPublished in: CoRR (2023)
Keyphrases
- fine grained
- semi supervised learning
- transfer learning
- labeled data
- supervised learning
- unlabeled data
- machine learning
- semi supervised classification
- semi supervised
- labeled and unlabeled data
- unsupervised learning
- semi supervised learning algorithms
- text classification
- co training
- learning tasks
- class labels
- knowledge transfer
- labeled examples
- label information
- cross domain
- unlabeled samples
- text categorization
- domain adaptation
- support vector machine
- graph transduction
- learning problems
- access control
- decision trees
- training data
- multi task learning
- active learning
- multi task
- machine learning algorithms
- transfer knowledge
- learning algorithm
- reinforcement learning
- graph based semi supervised learning
- labeled training data
- decision boundary
- semi supervised learning methods
- model selection
- cross lingual
- partially labeled
- collaborative filtering
- data points
- data mining
- training set
- feature space