Reinforced active learning for image segmentation.
Arantxa CasanovaPedro O. PinheiroNegar RostamzadehChristopher J. PalPublished in: ICLR (2020)
Keyphrases
- active learning
- image segmentation
- semi supervised
- region growing
- multiscale
- markov random field
- random sampling
- method for image segmentation
- learning strategies
- graph cuts
- supervised learning
- computer vision
- deformable models
- image segmentation algorithm
- selective sampling
- relevance feedback
- training examples
- contour detection
- labeled data
- segmentation algorithm
- markov random field model
- training set
- object segmentation
- region merging
- experimental design
- pool based active learning
- level set method
- variational level set
- fuzzy c means
- segmentation method
- learning process
- pairwise
- medical imaging
- boundary detection
- gray level
- level set
- probabilistic relaxation
- image analysis
- otsu method
- image processing
- imbalanced data classification
- music emotion classification
- data sets