Active Learning for Deep Object Detection.
Clemens-Alexander BrustChristoph KädingJoachim DenzlerPublished in: CoRR (2018)
Keyphrases
- object detection
- active learning
- object class
- object categories
- learning strategies
- face detection
- object segmentation
- multi class
- object recognition
- scene understanding
- computer vision
- learning process
- training examples
- semi supervised
- pool based active learning
- deep learning
- annotation effort
- supervised learning
- active learning strategies
- selective sampling
- training set
- machine learning
- semi supervised learning
- rare class
- object classification
- learning algorithm
- batch mode active learning
- labeled data
- random sampling
- experimental design
- data mining
- object detectors
- human detection
- imbalanced data classification
- data sets
- unlabeled data
- deformable part models
- transfer learning
- pedestrian detection
- background subtraction
- neural network