Transfer Learning in Autonomous Driving Using Real-World Samples.
Arne TrochJens de HoogSimon VannesteDieter BalemansSteven LatréPeter HellinckxPublished in: 3PGCIC (2021)
Keyphrases
- transfer learning
- autonomous driving
- real world
- knowledge transfer
- learning tasks
- data sets
- reinforcement learning
- cross domain
- grand challenge
- labeled data
- collaborative filtering
- manifold alignment
- semi supervised learning
- machine learning
- text mining
- machine learning algorithms
- transfer knowledge
- active learning
- domain adaptation
- text categorization
- target domain
- stereo vision
- text classification
- semi supervised
- learning algorithm
- transferring knowledge
- multi task
- training samples
- vision system
- previously learned
- prior knowledge
- training set