Deep metric learning and image classification with nearest neighbour gaussian kernels (with Ben Meyer and Ben Harwood)

This paper shows how embedding a Gaussian kernel density classifier in latent space can be used to learn metric space representations of images.  The learned representation transfers well to novel classes providing good clustering performance on this unseen data.

[ICIP 2018 paper]