Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance.
Manuel Carranza-GarcíaPedro Lara-BenítezJorge García-GutiérrezJosé C. RiquelmePublished in: Neurocomputing (2021)
Keyphrases
- class imbalance
- autonomous driving
- object detection
- class distribution
- active learning
- grand challenge
- cost sensitive
- cost sensitive learning
- multi class
- imbalanced datasets
- high dimensionality
- minority class
- sampling methods
- feature selection
- stereo vision
- concept drift
- computer vision
- machine learning
- remote sensing
- error rate
- dynamic programming
- vision algorithms
- reinforcement learning
- learning algorithm