A Class Imbalance Loss for Imbalanced Object Recognition.
Linbin ZhangCaiguang ZhangSinong QuanHuaxin XiaoGangyao KuangLi LiuPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
- class imbalance
- object recognition
- class distribution
- active learning
- minority class
- imbalanced datasets
- cost sensitive learning
- cost sensitive
- sampling methods
- computer vision
- imbalanced data
- binary classification problems
- majority class
- rare events
- imbalanced data sets
- high dimensionality
- imbalanced class distribution
- concept drift
- multi class problems
- highly skewed
- feature selection
- random sampling
- test set
- unsupervised learning