Variational Adversarial Active Learning.
Samarth SinhaSayna EbrahimiTrevor DarrellPublished in: ICCV (2019)
Keyphrases
- active learning
- label noise
- random sampling
- learning algorithm
- multi agent
- image segmentation
- selective sampling
- learning strategies
- optical flow
- supervised learning
- optical flow computation
- labeled data
- active learning strategies
- methods in computer vision
- training examples
- semi supervised
- transfer learning
- learning process
- class imbalance
- experimental design
- variational methods
- machine learning
- pool based active learning
- cost sensitive
- multiscale
- data sets
- batch mode
- free energy
- semi supervised learning
- image sequences
- framework for image segmentation
- annotation effort
- batch mode active learning
- imbalanced data classification
- music emotion classification