Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection.
Luiza Ribeiro MarnetYury BrodskiyStella GrasshofAndrzej WasowskiPublished in: ROBOVIS (2024)
Keyphrases
- active learning
- image segmentation
- learning strategies
- markov random field
- random sampling
- contour detection
- boundary detection
- uncertain data
- relevance feedback
- data driven
- medical imaging
- method for image segmentation
- multiscale
- image processing
- pool based active learning
- graph cuts
- machine learning
- learning algorithm
- region growing
- segmentation algorithm
- computer vision
- sensor networks
- image analysis
- imbalanced data classification
- training examples
- underwater vehicles
- underwater acoustic
- selective sampling
- training set
- segmented images
- belief functions
- semi supervised
- active contours
- segmentation method
- graph partitioning
- learning process
- object segmentation
- transfer learning
- decision trees
- acoustic signals
- energy function