Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data.
Adrian Lopez RodriguezBenjamin BusamKrystian MikolajczykPublished in: ACCV (1) (2020)
Keyphrases
- sensor data
- domain adaptation
- sensor networks
- multiple sources
- cross domain
- raw sensor data
- sensor measurements
- semi supervised
- labeled data
- data streams
- health monitoring
- target domain
- transfer learning
- semi supervised learning
- sentiment classification
- test data
- project management
- sensor readings
- high dimensional
- sparse representation
- wireless sensor networks
- case study
- multiple views
- document classification
- unlabeled data
- domain specific