Coarse-to-Fine Pseudo-Labeling Guided Meta-Learning for Inexactly-Supervised Few-Shot Classification.
Jinhai YangHua YangLin ChenPublished in: CoRR (2020)
Keyphrases
- coarse to fine
- meta learning
- feature selection
- multiscale
- unsupervised learning
- machine learning algorithms
- model selection
- decision trees
- supervised learning
- machine learning
- multiresolution
- pattern recognition
- learning tasks
- inductive learning
- active learning
- hierarchical segmentation
- classification accuracy
- object detection
- image registration
- support vector
- support vector machine
- dynamic programming
- feature set
- image classification
- text classification
- semi supervised
- machine learning methods
- image segmentation
- markov random field
- data sets
- class labels
- feature extraction
- data mining