Semi-supervised GAN with sparse ground truth as Boundary Conditions.
Matthieu DabrowskiJosé MennessonJérôme C. RiediChaabane DjerabaPublished in: IJCNN (2023)
Keyphrases
- boundary conditions
- ground truth
- semi supervised
- semi supervised learning
- ground truth data
- deformation field
- sufficient conditions
- shape from shading
- boundary value problem
- partially labeled
- labeled data
- unlabeled data
- high quality
- high dimensional
- supervised learning
- active learning
- finite element model
- reaction diffusion
- sparse representation
- sparse coding
- poisson equation
- multi view
- manually labeled
- blood flow
- pairwise
- metric learning
- finite element method
- pairwise constraints
- variational inequalities
- structuring elements