Fast Adaptation to Super-Resolution Networks via Meta-learning.
Seobin ParkJinsu YooDonghyeon ChoJiwon KimTae Hyun KimPublished in: ECCV (27) (2020)
Keyphrases
- super resolution
- meta learning
- low resolution
- high resolution
- inductive learning
- learning tasks
- low resolution images
- model selection
- motion estimation
- resolution enhancement
- machine learning algorithms
- decision trees
- image super resolution
- high resolution images
- high quality
- super resolution reconstruction
- machine learning
- super resolved
- feature selection
- feature extraction
- data sets
- depth map
- metamodel
- base classifiers
- data mining
- learning algorithm
- data model
- three dimensional
- knowledge acquisition
- learning process