Deep Semantic Dictionary Learning for Multi-label Image Classification.
Fengtao ZhouSheng HuangYun XingPublished in: CoRR (2020)
Keyphrases
- multi label
- image classification
- dictionary learning
- sparse coding
- sparse representation
- multi label classification
- visual features
- image representation
- image annotation
- image features
- bag of words
- multi label learning
- binary classification
- classifier training
- feature extraction
- visual words
- svm classifier
- text categorization
- low level features
- visual categorization
- scene classification
- data sets
- image patches
- markov random field
- information extraction
- pairwise
- computer vision
- information retrieval