SoftSeg: Advantages of soft versus binary training for image segmentation.
Charley GrosAndréanne LemayJulien Cohen-AdadPublished in: CoRR (2020)
Keyphrases
- image segmentation
- markov random field
- method for image segmentation
- training process
- test set
- computer vision
- image processing
- multiscale
- training set
- graph cuts
- boundary detection
- training samples
- supervised learning
- neural network
- level set
- data sets
- higher order
- gray level
- segmentation method
- deformable models
- spectral clustering
- region growing
- fuzzy c means
- training data
- training phase
- machine learning