📣 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.

Centroids Triplet Network and Temporally-Consistent Embeddings for In-Situ Object Recognition (2020)

First Author: Lagunes-Fortiz M

Attributed to: GLANCE: GLAnceable Nuances for Contextual Events funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/iros45743.2020.9341050

Publication URI: http://dx.doi.org/10.1109/iros45743.2020.9341050

Type: Conference/Paper/Proceeding/Abstract