Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms.
Jaesung RimHaeyun LeeJucheol WonSunghyun ChoPublished in: ECCV (25) (2020)
Keyphrases
- learning algorithm
- real world
- synthetic datasets
- learning process
- learning systems
- supervised learning
- noise tolerant
- learning tasks
- significant improvement
- machine learning algorithms
- computational complexity
- learning problems
- reinforcement learning
- computational cost
- learning models
- motion blur
- active learning
- online learning
- computationally efficient
- benchmark datasets
- optical flow
- inductive inference
- data sets