Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance.
Manuel Carranza-GarcíaPedro Lara-BenítezJorge García-GutiérrezJosé C. RiquelmePublished in: CoRR (2021)
Keyphrases
- class imbalance
- autonomous driving
- object detection
- class distribution
- active learning
- cost sensitive
- grand challenge
- cost sensitive learning
- imbalanced datasets
- stereo vision
- sampling methods
- multi class
- concept drift
- high dimensionality
- minority class
- object recognition
- pattern recognition
- urban traffic
- feature selection
- computer vision
- vision algorithms