Semantic feature augmentation for fine-grained visual categorization with few-sample training.
Xiang GuanYang YangZheng WangJingjing LiPublished in: MMAsia (2020)
Keyphrases
- fine grained
- visual categorization
- semantic features
- coarse grained
- visual recognition
- image classification
- access control
- object categories
- training set
- training examples
- semantic information
- massively parallel
- visual features
- wordnet
- low level features
- data sets
- training samples
- image processing
- text classification
- supervised learning
- semi supervised
- semantic similarity
- training data
- metadata
- computer vision
- information retrieval
- machine learning