Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation.
Alireza GhanbariGholam Hassan ShirdelFarhad MalekiPublished in: CoRR (2024)
Keyphrases
- learning models
- domain adaptation
- semi supervised learning
- semi supervised
- labeled data
- learning algorithm
- unlabeled data
- learning tasks
- cross domain
- transfer learning
- image segmentation
- machine learning
- segmentation algorithm
- machine learning algorithms
- classification models
- learning problems
- loss function
- multiple sources
- segmentation method
- co training
- supervised learning
- active learning
- sentiment classification
- conditional random fields
- test data
- target domain
- data sets
- domain specific
- training data