Reinforced active learning for image segmentation.
Arantxa CasanovaPedro O. PinheiroNegar RostamzadehChristopher J. PalPublished in: CoRR (2020)
Keyphrases
- active learning
- image segmentation
- learning algorithm
- random sampling
- method for image segmentation
- multiscale
- selective sampling
- segmentation algorithm
- contour detection
- markov random field
- graph cuts
- learning strategies
- boundary detection
- multilevel thresholding
- supervised learning
- active contours
- semi supervised
- unsupervised image segmentation
- segmentation method
- region growing
- batch mode
- markov random field model
- image segmentation algorithm
- experimental design
- level set method
- variational level set
- computer vision
- cost sensitive
- imbalanced data classification
- image processing
- probabilistic relaxation
- training set
- image analysis
- relevance feedback
- level set
- gray level
- texture segmentation
- medical imaging
- fuzzy c means
- unsupervised segmentation
- segmented images
- image segmentation algorithms
- training examples
- graph partitioning
- deformable models
- clustering algorithm
- energy functional
- shape prior
- otsu method
- machine learning