No Fuss Distance Metric Learning using Proxies

ICCV, 2017.

Cited by: 140|Bibtex|Views118|Links
EI

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

Code:

Data:

Your rating :
0

 

Tags
Comments