2020
Unsupervised Metric Relocalization Using Transform Consistency Loss
CoRL 2020
Training networks to perform metric relocalization traditionally requires accurate image correspondences. In practice, these are obtained by restricting domain coverage, employing additional sensors, or capturing large multi-view datasets. We instead propose a self-supervised solution, which exploit