Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data.
Adrian Lopez RodriguezBenjamin BusamKrystian MikolajczykPublished in: CoRR (2020)
Keyphrases
- sensor data
- domain adaptation
- sensor networks
- raw sensor data
- cross domain
- multiple sources
- health monitoring
- sensor measurements
- data streams
- semi supervised
- case study
- sentiment classification
- neural network
- labeled data
- test data
- document classification
- semi supervised learning
- unlabeled data
- target domain
- feature selection
- high dimensional
- pairwise
- transfer learning
- co training
- multi view
- active learning