LR-ProtoNet: Meta-Learning for Low-Resolution Few-Shot Recognition and Classification.
Yijie YuanShaopeng JiaFei WangXiong ChenPublished in: ICNSC (2022)
Keyphrases
- low resolution
- meta learning
- high resolution
- super resolution
- decision trees
- model selection
- feature extraction
- high quality
- low resolution images
- learning tasks
- machine learning algorithms
- image super resolution
- super resolved
- face images
- classification accuracy
- inductive learning
- feature selection
- higher resolution
- machine learning
- unsupervised learning
- support vector
- supervised learning
- text classification
- image classification
- high resolution images
- support vector machine
- depth map
- image reconstruction
- object recognition
- class labels
- feature space
- machine learning methods
- prediction accuracy
- training set
- training samples
- labeled data
- feature set