RaCo: Ranking and Covariance for Practical Learned Keypoints

Abhiram Shenoi, Philipp Lindenberger, Paul-Edouard Sarlin +1

This paper introduces RaCo, a lightweight neural network designed to learn robust and versatile keypoints suitable for a variety of 3D computer vision tasks. The model integrates t…