Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data.
Daoan ZhangYunhao LuoJianguo ZhangPublished in: CoRR (2023)
Keyphrases
- unlabeled data
- semi supervised
- semantic segmentation
- weakly supervised
- labeled data
- semi supervised learning
- partially labeled data
- supervised methods
- conditional random fields
- co training
- semi supervised classification
- learning algorithm
- labeled and unlabeled data
- superpixels
- unsupervised learning
- active learning
- pairwise
- labeled examples
- supervised learning
- object categories
- training examples
- text categorization
- scene classification
- pairwise constraints
- class labels
- labeled training data
- semi supervised learning algorithms
- training data
- object classes
- generative model
- feature selection
- object class
- data sets
- machine learning
- transductive learning
- object recognition
- training set
- data points
- bayesian networks
- pascal voc
- text classification
- weak classifiers