Active Learning for Deep Object Detection.
Clemens-Alexander BrustChristoph KädingJoachim DenzlerPublished in: VISIGRAPP (5: VISAPP) (2019)
Keyphrases
- object detection
- active learning
- computer vision
- object class
- random sampling
- scene understanding
- learning algorithm
- object categories
- face detection
- object classification
- learning process
- object segmentation
- labeled data
- multi class
- learning strategies
- selective sampling
- batch mode active learning
- training examples
- supervised learning
- pool based active learning
- image sequences
- background subtraction
- pedestrian detection
- sample selection
- object recognition
- experimental design
- active learning strategies
- human detection
- crowd sourced
- deformable part models
- unlabeled data
- training set
- imbalanced data classification
- data sets
- music emotion classification
- scene recognition
- small number
- multiscale
- machine learning