Search Results for author:
Found 2 papers, 1 papers with code
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
In this paper, we go Back to the Feature: we argue that deep networks should focus on learning robust and invariant visual features, while the geometric estimation should be left to principled algorithms.
Battery Model Calibration with Deep Reinforcement Learning
In this paper, we implement a Reinforcement Learning-based framework for reliably and efficiently inferring calibration parameters of battery models.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
