A Feature Fusion Method Based on Multi-Classification Losses for Fine-Grained Visual Categorization.
Mengmeng ZhuShouhong WanPeiquan JinQijun TianPublished in: IEEE BigData (2021)
Keyphrases
- fine grained
- fusion method
- visual categorization
- coarse grained
- feature vectors
- image classification
- pattern recognition
- information fusion
- data fusion
- access control
- fusion methods
- feature representation
- feature set
- image fusion
- feature extraction
- text classification
- machine learning
- object categories
- training set
- visual recognition
- massively parallel
- support vector
- feature selection
- multiresolution
- remote sensing
- pairwise
- feature space