📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Learning From Noisy Labels by Regularized Estimation of Annotator Confusion (2019)

First Author: Tanno R

Attributed to: Enabling Clinical Decisions From Low-power MRI In Developing Nations Through Image Quality Transfer funded by GCRF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/cvpr.2019.01150

Publication URI: http://dx.doi.org/10.1109/cvpr.2019.01150

Type: Conference/Paper/Proceeding/Abstract