Image quality assessment for machine learning tasks using meta-reinforcement learning.
Shaheer U. SaeedYunguan FuVasilis StavrinidesZachary M. C. BaumQianye YangMirabela RusuRichard E. FanGeoffrey A. SonnJ. Alison NobleDean C. BarrattYipeng HuPublished in: Medical Image Anal. (2022)
Keyphrases
- learning tasks
- image quality assessment
- reinforcement learning
- function approximation
- transfer learning
- learning problems
- learning algorithm
- quality assessment
- structural similarity
- supervised learning
- machine learning
- function approximators
- image quality
- human visual system
- image database
- learning experience
- correlation coefficient
- machine learning algorithms
- natural images
- multi label
- human perception
- semi supervised learning
- kernel methods
- quality evaluation
- quality metrics
- visual perception
- learning process
- natural scenes
- image data
- text mining
- structural information
- classification accuracy
- higher order
- active learning
- unsupervised learning