Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres
Many computer vision challenges require continuous outputs, but tend to be solved by discrete classification. The reason is classification's natural containment within a probability n-simplex, as defined by the popular softmax activation function. Regular regression lacks such a closed geometry, leading to unstable training and convergence to suboptimal local minima. …