Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling.
Barbara Caroline BenatoAlexandru C. TeleaAlexandre X. FalcãoPublished in: SIBGRAPI (2021)
Keyphrases
- active learning
- machine learning
- random sampling
- metadata
- labeling process
- confidence level
- automatic image annotation
- multiple features
- monte carlo
- sample size
- markov chain
- feature vectors
- binary images
- fully automatic
- feature set
- training set
- feature space
- sampled data
- sample selection
- face recognition
- annotation tool
- active sampling