Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation.
Quinten Van BaelenPeter KarsmakersPublished in: Neurocomputing (2023)
Keyphrases
- inequality constraints
- semantic segmentation
- nonlinear programming
- constrained optimization
- interior point methods
- equality constraints
- conditional random fields
- superpixels
- weakly supervised
- scene classification
- cost function
- training examples
- training set
- supervised learning
- linear programming
- training samples
- object class
- linear constraints
- variational inequalities
- object categories
- convex optimization
- model selection
- objective function
- object classes
- image processing
- multi class
- semidefinite programming
- high dimensional
- multiscale
- training data
- image segmentation