Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection.
Luiza Ribeiro MarnetYury BrodskiyStella GrasshofAndrzej WasowskiPublished in: CoRR (2024)
Keyphrases
- active learning
- image segmentation
- sensor networks
- learning strategies
- data driven
- multiscale
- method for image segmentation
- markov random field
- graph cuts
- acoustic signal
- level set method
- boundary detection
- image segmentation algorithm
- level set
- underwater acoustic
- fuzzy c means
- quality control
- shape prior
- defect detection
- experimental design
- computer vision
- underwater vehicles
- acoustic signals
- pool based active learning
- imbalanced data classification
- machine learning
- learning process
- training examples
- gray level
- semi supervised
- region growing
- supervised learning
- feature selection
- image processing
- ground truth
- relevance feedback
- unsupervised image segmentation
- selective sampling
- batch mode
- active contours
- region merging
- robust optimization
- graph partitioning
- segmentation method
- deformable models
- random sampling
- spectral clustering