Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling.
Daeun LeeJongwon ParkJinkyu KimPublished in: CoRR (2022)
Keyphrases
- class imbalance
- ground truth
- sampling methods
- minority class
- object detection
- class distribution
- active learning
- imbalanced class distribution
- object detectors
- object class
- cost sensitive
- high quality
- object categories
- high dimensionality
- object classes
- concept drift
- machine learning
- test images
- supervised learning
- high resolution
- image segmentation
- learning algorithm