Combining local and global hypotheses in deep neural network for multi-label image classification.
Qinghua YuJinjun WangShizhou ZhangYihong GongJizhong ZhaoPublished in: Neurocomputing (2017)
Keyphrases
- multi label
- image classification
- neural network
- multi label classification
- image representation
- image annotation
- visual features
- bag of words
- image features
- multi instance
- binary classification
- text categorization
- multi label learning
- learning tasks
- multiple labels
- visual words
- hierarchical text categorization
- svm classifier
- text classification
- automatic image annotation
- class labels
- protein function prediction
- multi modal
- graph cuts
- small number
- information extraction
- natural language
- feature extraction
- image segmentation
- information retrieval