Learning a target-dependent classifier for cross-domain semantic segmentation: Fine-tuning versus meta-learning.
Haitao TianShiru QuPierre PayeurPublished in: Pattern Recognit. (2024)
Keyphrases
- meta learning
- cross domain
- learning tasks
- fine tuning
- learning algorithm
- inductive learning
- semantic segmentation
- knowledge transfer
- learning process
- transfer learning
- weakly supervised
- knowledge acquisition
- decision trees
- training samples
- reinforcement learning
- multi label
- domain specific
- training data
- feature selection
- data sets