Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment.
Yue CaoZhaolin WanDongwei RenZifei YanWangmeng ZuoPublished in: CVPR (2022)
Keyphrases
- semi supervised
- supervised learning
- learning algorithm
- semi supervised learning
- unsupervised learning
- learning process
- active learning
- labeled and unlabeled data
- unlabeled data
- positive examples
- partially labeled
- online learning
- reinforcement learning
- positive and unlabeled examples
- learning systems
- learning tasks
- boosting framework
- partially labeled data
- data sets
- learning models
- ensemble methods
- learning problems
- background knowledge
- text classification
- machine learning
- neural network