Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization.
Yoonsik KimJae Woong SohGu Yong ParkNam Ik ChoPublished in: CVPR (2020)
Keyphrases
- transfer learning
- denoising
- spatially adaptive
- denoising algorithm
- gaussian noise
- noise suppression
- learning tasks
- noisy images
- noise level
- knowledge transfer
- denoising methods
- image denoising
- reinforcement learning
- labeled data
- machine learning
- real world
- active learning
- cross domain
- total variation
- semi supervised learning
- multi task
- text classification
- image processing
- text categorization
- transfer knowledge
- text mining
- collaborative filtering
- neural network
- noise reduction
- semi supervised
- machine learning algorithms
- domain adaptation
- pairwise
- learning algorithm
- manifold alignment
- target domain
- unlabeled data
- multi task learning
- bayesian networks
- data sets
- transferring knowledge
- cross domain learning