SCNet: Training Inference Sample Consistency for Instance Segmentation.
Thang VuHaeyong KangChang D. YooPublished in: AAAI (2021)
Keyphrases
- structured prediction
- image segmentation
- medical images
- level set
- segmentation algorithm
- multiscale
- probabilistic inference
- segmentation method
- test set
- grey level
- supervised learning
- training set
- consistency checking
- image analysis
- inference process
- training examples
- segmentation accuracy
- image parsing
- training algorithm
- region growing
- shape prior
- segmented images
- training process
- conditional random fields
- bayesian inference
- fully automatic
- medical imaging
- deformable models
- neural network
- sample size
- training samples
- pairwise
- bayesian networks
- computer vision