Synthetic Minority with CutMix for Imbalanced Image Classification.
Chenghua ZengHuijuan LuKanghao ChenRuixuan WangJun TaoPublished in: IntelliSys (2) (2022)
Keyphrases
- image classification
- minority class
- class imbalanced
- class distribution
- bag of words
- feature extraction
- image features
- visual features
- majority class
- class imbalance
- image representation
- classification error
- real world
- imbalanced datasets
- class specific
- multi label
- imbalanced data sets
- bag of features
- decision trees
- real images are presented
- sparse coding
- imbalanced class distribution
- decision boundary
- sparse representation
- multi class
- multiscale
- machine learning