The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning (with Ben Meyer)

This paper shows how to use metric learning for active learning.  In a metric space, examples of novel classes typically map to empty parts of the space.  This can be detected automatically using the local ratio of unlabelled to labelled densities to select examples for active labelling.

[ICRA 2019 paper]