Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data.
Adrian Lopez RodriguezBenjamin BusamKrystian MikolajczykPublished in: Int. J. Comput. Vis. (2023)
Keyphrases
- sensor data
- domain adaptation
- sensor networks
- raw sensor data
- sensor measurements
- cross domain
- sensor readings
- multiple sources
- labeled data
- semi supervised
- health monitoring
- data streams
- sentiment classification
- test data
- high dimensional
- target domain
- project management
- document classification
- co training
- semi supervised learning
- databases
- machine learning
- sparse representation
- case study
- feature representation
- multi view
- neural network
- domain specific
- supervised learning
- data analysis