Deep transfer learning for image classification: a survey.
Jo PlestedTom GedeonPublished in: CoRR (2022)
Keyphrases
- transfer learning
- image classification
- learning tasks
- knowledge transfer
- machine learning
- labeled data
- reinforcement learning
- semi supervised learning
- cross domain
- text categorization
- image features
- active learning
- feature extraction
- domain adaptation
- transfer knowledge
- multi label
- manifold alignment
- structure learning
- multi task
- collaborative filtering
- machine learning algorithms
- target domain
- text classification
- cross domain learning
- multi task learning
- transferring knowledge
- text mining
- learning algorithm
- graphical models
- feature vectors
- object recognition
- data mining
- neural network
- databases