Investigating the Challenges of Class Imbalance and Scale Variation in Object Detection in Aerial Images.
Ahmed ElhagryMohamed SaeedPublished in: CoRR (2022)
Keyphrases
- aerial images
- class imbalance
- object detection
- class distribution
- active learning
- cost sensitive
- imbalanced datasets
- multi class
- tree crown
- cost sensitive learning
- line segments
- sampling methods
- concept drift
- minority class
- high dimensionality
- feature selection
- machine learning
- object recognition
- computer vision
- background subtraction
- face images
- training set
- training data
- learning algorithm