A New Approach to Train Convolutional Neural Networks for Real-Time 6-DOF Camera Relocalization
Deep Auxiliary Learning for Visual Localization and Odometry
Geometric Consistency for Self-Supervised End-to-End Visual Odometry
A Hybrid Probabilistic Model for Camera Relocalization
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
3D Pose Regression Using Convolutional Neural Networks