Yuan Tai

Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant Loss

Estimating keypoint scale and orientation is crucial to extracting invariant features under significant geometric changes. Recently, the estimators based on self-supervised learning have been designed to adapt to complex imaging conditions. Such learning-based estimators generally predict a single s…