Density-based one-shot active learning for image segmentation.
Qiuye JinShiman LiXiaofei DuMingzhi YuanManning WangZhijian SongPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- active learning
- image segmentation
- clustering algorithm
- learning strategies
- active contours
- segmentation method
- multiscale
- method for image segmentation
- anomaly detection
- labeled data
- boundary detection
- markov random field
- clustering method
- learning algorithm
- level set method
- training examples
- deformable models
- random sampling
- machine learning
- density based clustering
- supervised learning
- relevance feedback
- data mining
- computer vision
- contour detection
- selective sampling
- unsupervised image segmentation
- subspace clustering
- pool based active learning
- spectral clustering
- outlier detection
- semi supervised
- graph cuts
- image segmentation algorithm
- image processing
- training set
- probabilistic relaxation
- sample selection
- medical imaging
- region merging
- energy function
- object segmentation
- shape prior
- segmentation algorithm
- semi supervised learning
- experimental design
- gray level
- learning process
- active learning strategies
- region growing