Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions.
Jun WangShaoguo WenKaixing ChenJianghua YuXin ZhouPeng GaoChangsheng LiGuotong XiePublished in: CoRR (2020)
Keyphrases
- semi supervised
- active learning
- unlabeled instances
- semi supervised learning
- supervised learning
- image segmentation
- unlabeled data
- unsupervised learning
- level set
- version space
- labeled data
- segmentation algorithm
- segmentation method
- fully supervised
- shape prior
- fully automatic
- label propagation
- multi view
- selective sampling
- random sampling
- machine learning
- semi supervised classification
- pool based active learning
- medical imaging
- image analysis
- learning strategies
- metric learning
- medical images
- labeled examples
- region growing
- learning algorithm
- multiscale
- pairwise constraints
- edge detection
- data sets
- active learning strategies
- feature selection
- training set
- segmentation accuracy
- experimental design
- co training
- object segmentation
- incremental learning
- image regions