Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation.
Aleksandar ShtedritskiAndrea VedaldiChristian RupprecthPublished in: ICCV (Workshops) (2023)
Keyphrases
- data sets
- prior knowledge
- learning algorithm
- database
- statistical analysis
- data processing
- image data
- online learning
- data sources
- data structure
- data model
- semantically rich
- inductive inference
- original data
- learning tasks
- spatial data
- background knowledge
- synthetic data
- high level
- data analysis
- data points
- input data
- high quality
- semi supervised
- image features
- end users
- learning process
- data quality
- learning models
- active learning
- xml documents