No Fuss Distance Metric Learning using Proxies

ICCV, 2017.

Cited by: 140|Bibtex|Views164
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We address the problem of distance metric learning (DML), defined as learning a distance consistent with a notion of semantic similarity. Traditionally, for this problem supervision is expressed in the form of sets of points that follow an ordinal relationship – an anchor point x is similar to a set of positive points Y , and dissimilar t...More

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