Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning.
Jared MarkowitzAurora C. SchmidtPhilippe M. BurlinaI-Jeng WangPublished in: MVA (2017)
Keyphrases
- convolutional neural network
- feature extraction
- feature set
- classification accuracy
- feature vectors
- benchmark datasets
- classification process
- feature space
- visual object recognition
- unsupervised learning
- supervised learning
- learning algorithm
- pattern recognition
- feature construction
- semantic information
- prior knowledge
- incremental learning
- reinforcement learning
- learning process
- image features
- classification method
- active learning
- machine learning
- feature selection
- constructive induction
- extracted features
- feature selection algorithms
- learning models
- classification models
- support vector machine svm
- face detection
- decision rules
- svm classifier
- class labels
- classification rules
- computer vision
- hierarchical classification
- discriminative learning
- low level
- supervised learning algorithms
- restricted boltzmann machine
- decision trees