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Data for Similarity-aware CNN for Efficient Video Recognition at the Edge

Data for Similarity-aware CNN for Efficient Video Recognition at the Edge
Data for Similarity-aware CNN for Efficient Video Recognition at the Edge
This data is associated with the the "Similarity-aware CNN for Efficient Video Recognition at the Edge" article published in IEEE transaction on Computer-Aided Design of Integrated Circuits and Systems.
University of Southampton
Sabetsarvestani, Mohammadamin
f5c0e55f-6f0c-4f56-9d6d-7de19d6fb136
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020
Sabetsarvestani, Mohammadamin
f5c0e55f-6f0c-4f56-9d6d-7de19d6fb136
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020

Sabetsarvestani, Mohammadamin, Hare, Jonathon and Merrett, Geoffrey (2021) Data for Similarity-aware CNN for Efficient Video Recognition at the Edge. University of Southampton doi:10.5258/SOTON/D2067 [Dataset]

Record type: Dataset

Abstract

This data is associated with the the "Similarity-aware CNN for Efficient Video Recognition at the Edge" article published in IEEE transaction on Computer-Aided Design of Integrated Circuits and Systems.

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More information

Published date: 10 December 2021
Related URLs:
Learn more about School of Electronics and Computer Science research Learn more about Vision, Learning and Control research Learn more about Cyber Physical Systems research

Identifiers

Local EPrints ID: 452703
URI: http://eprints.soton.ac.uk/id/eprint/452703
DOI: doi:10.5258/SOTON/D2067
PURE UUID: 15b934df-3bf3-4ef7-8341-58456eb6c18f
ORCID for Jonathon Hare: ORCID iD orcid.org/0000-0003-2921-4283
ORCID for Geoffrey Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 15 Dec 2021 12:04
Last modified: 17 Aug 2023 01:38

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Contributors

Creator: Mohammadamin Sabetsarvestani
Creator: Jonathon Hare ORCID iD
Research team head: Bashir Al-Hashimi
Creator: Geoffrey Merrett ORCID iD

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