no code implementations • 10 May 2021 • Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
In this paper, we address the problem of Semi-Supervised DML (SSDML) that tries to learn a metric using a few labeled examples, and abundantly available unlabeled examples.
no code implementations • 22 Aug 2020 • Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
As obtaining class labels in all applications is not feasible, we propose an unsupervised approach that learns a metric without making use of class labels.
no code implementations • 27 Feb 2020 • Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
In this paper, we revamp the forgotten classical Semi-Supervised Distance Metric Learning (SSDML) problem from a Riemannian geometric lens, to leverage stochastic optimization within a end-to-end deep framework.