Active Learning for Object Detection with Non-Redundant Informative Sampling.
Aral HekimogluAdrian BruckerAlper Kagan KayaliMichael SchmidtAlvaro Marcos-RamiroPublished in: CoRR (2023)
Keyphrases
- active learning
- object detection
- random sampling
- sampling strategies
- active sampling
- selective sampling
- sample selection
- stratified sampling
- face detection
- active learner
- computer vision
- sample size
- scene recognition
- sampling methods
- sampling algorithm
- pedestrian detection
- object class
- learning strategies
- multi class
- image parsing
- scene understanding
- object categories
- imbalanced class distribution
- sampling strategy
- human detection
- learning algorithm
- training examples
- parameter space
- query by committee
- unlabeled data
- object recognition
- supervised learning
- learning process
- machine learning
- e learning
- active learning strategies
- highly redundant
- semi supervised
- model selection
- semi supervised learning
- detection method
- monte carlo
- transfer learning