Projective Manifold Gradient Layer for Deep Rotation Regression.
Jiayi ChenYingda YinTolga BirdalBaoquan ChenLeonidas J. GuibasHe WangPublished in: CVPR (2022)
Keyphrases
- locally linear
- multiple layers
- regression model
- lie group
- tangent space
- multi layer
- regression problems
- linear regression
- manifold learning
- reconstruction from multiple views
- rotation invariant
- single layer
- regression algorithm
- invariant features
- regression analysis
- manifold structure
- riemannian manifolds
- geodesic distance
- support vector regression
- low dimensional
- edge detection
- feature selection
- gradient information
- parameter space
- model selection
- feature space
- face recognition