Balanced Sampling-Based Active Learning for Object Detection.
Sridhatta Jayaram AithalShyam Prasad AdhikariMrinmoy GhoraiHemant MisraPublished in: CVMI (2022)
Keyphrases
- object detection
- active learning
- imbalanced class distribution
- face detection
- multi class
- random sampling
- object class
- computer vision
- learning algorithm
- scene understanding
- monte carlo
- selective sampling
- object categories
- background subtraction
- learning strategies
- object recognition
- relevance feedback
- pedestrian detection
- object segmentation
- adaptive sampling
- semi supervised
- pool based active learning
- machine learning
- motion planning
- music emotion classification
- object classification
- experimental design
- human detection
- labeled data
- class imbalance
- cost sensitive
- supervised learning
- active learning strategies
- learning process
- annotation effort
- transfer learning
- unlabeled data
- scene recognition
- image parsing
- crowd sourced
- training data
- face recognition