The University of Southampton
University of Southampton Institutional Repository

Database of Superfine Attributes for Peta

Database of Superfine Attributes for Peta
Database of Superfine Attributes for Peta
This dataset accompanies the paper: Martinho-Corbishley, D., Nixon, M., & Carter, J. (2018). Super-fine attributes with crowd prototyping. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-14. DOI: 10.1109/TPAMI.2018.2836900
University of Southampton
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Martinho-Corbishley, Daniel
6dd73e5c-9a7e-41bd-b896-fb1ea9852abb
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Martinho-Corbishley, Daniel
6dd73e5c-9a7e-41bd-b896-fb1ea9852abb

Nixon, Mark and Martinho-Corbishley, Daniel (2019) Database of Superfine Attributes for Peta. University of Southampton doi:10.5258/SOTON/D0577 [Dataset]

Record type: Dataset

Abstract

This dataset accompanies the paper: Martinho-Corbishley, D., Nixon, M., & Carter, J. (2018). Super-fine attributes with crowd prototyping. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-14. DOI: 10.1109/TPAMI.2018.2836900

Archive
superfine_peta_dataset.zip - Dataset
Available under License Creative Commons Attribution.
Download (413MB)
Text
readme_D0577.txt - Text
Available under License Creative Commons Attribution.
Download (527B)

More information

Published date: 2019

Identifiers

Local EPrints ID: 430014
URI: https://eprints.soton.ac.uk/id/eprint/430014
PURE UUID: af29d0de-3d96-4276-a357-189744b39d7c
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 09 Apr 2019 16:32
Last modified: 10 Apr 2019 00:39

Export record

Altmetrics

Contributors

Creator: Mark Nixon ORCID iD
Creator: Daniel Martinho-Corbishley

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×