Meta-Learning for Multi-Label Few-Shot Classification.
Christian SimonPiotr KoniuszMehrtash HarandiPublished in: WACV (2022)
Keyphrases
- multi label
- meta learning
- learning tasks
- multi label classification
- image classification
- class labels
- text classification
- text categorization
- decision trees
- model selection
- machine learning
- machine learning algorithms
- binary classification
- feature selection
- image annotation
- classification algorithm
- inductive learning
- classification accuracy
- graph cuts
- support vector
- cost sensitive
- base learners
- semi supervised learning
- support vector machine
- support vector machine svm
- data mining
- binary classifiers
- visual features
- feature vectors
- feature extraction
- image processing
- knowledge acquisition
- feature set
- face recognition
- metamodel
- base classifiers
- computer vision
- benchmark datasets
- learning algorithm
- unlabeled data