Transfer Learning for Driver Pose Estimation from Synthetic Data.
Daniel SagmeisterDominik SchörkhuberMatej NezvedaFabian StiedlMaria SchimkowitschMargrit GelautzPublished in: IV (2023)
Keyphrases
- pose estimation
- synthetic data
- transfer learning
- learning tasks
- d objects
- human body
- knowledge transfer
- data sets
- computer vision
- labeled data
- cross domain
- active learning
- real image data
- feature points
- machine learning
- semi supervised learning
- human pose estimation
- collaborative filtering
- text classification
- body parts
- reinforcement learning
- human pose
- transfer knowledge
- text categorization
- real world
- target domain
- depth images
- machine learning algorithms
- multi task
- object recognition
- text mining
- feature vectors