Neural networks are known toproduce poor uncertainty estimations, and avariety of approaches have been proposed to remedy this issue.

Multi-scene absolute pose regression addresses the demand for fast and memory-efficient camera pose estimation across various real-world environments.

The embedding of such a manifold into the high-dimensional space of the data is achieved via learnable invertible transformations.

Neural Information Processing Systems http://nips.cc/

FromTheorem 2,thevariational gap is strictly positive as long as the rotation part of the score network remainstobenonzero.

Watermarking images is critical for tracking image provenance and proving ownership.