Scalable Active Learning for Object Detection.
Elmar HaussmannMichele FenziKashyap ChittaJan IvaneckyHanson XuDonna RoyAkshita MittelNicolas KoumchatzkyClément FarabetJose M. AlvarezPublished in: IV (2020)
Keyphrases
- object detection
- active learning
- computer vision
- face detection
- object class
- web scale
- learning strategies
- scene understanding
- semi supervised
- supervised learning
- pedestrian detection
- random sampling
- learning process
- object recognition
- learning algorithm
- relevance feedback
- highly scalable
- selective sampling
- labeled data
- experimental design
- active learning strategies
- music emotion classification
- cost sensitive
- lightweight
- unlabeled data
- semi supervised learning
- multi class
- object segmentation
- background subtraction
- training examples
- scene recognition
- training set
- image parsing
- information retrieval
- deformable part models
- neural network