Projective Manifold Gradient Layer for Deep Rotation Regression.
Jiayi ChenYingda YinTolga BirdalBaoquan ChenLeonidas J. GuibasHe WangPublished in: CoRR (2021)
Keyphrases
- locally linear
- multiple layers
- regression model
- lie group
- tangent space
- multi layer
- model selection
- rotation invariant
- regression problems
- support vector regression
- linear regression
- edge detection
- manifold learning
- geometric structure
- regression analysis
- euclidean space
- deep learning
- gaussian processes
- parameter space
- high dimensional
- feature space
- reconstruction from multiple views
- neural network
- single layer
- image gradient
- invariant features
- support vector machine
- support vector