Dataset for "GhostShiftAddNet: More Features from Energy-Efficient Operations"
Dataset for "GhostShiftAddNet: More Features from Energy-Efficient Operations"
This dataset supports the publication: GhostShiftAddNet: More Features from Energy-Efficient Operations.' in 'British Machine Vision Conference 2021'.
University of Southampton
Bi, Jia
8b23da1b-a6d6-43f4-9752-04a825093b3b
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020
Bi, Jia
8b23da1b-a6d6-43f4-9752-04a825093b3b
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020
Bi, Jia
(2021)
Dataset for "GhostShiftAddNet: More Features from Energy-Efficient Operations".
University of Southampton
doi:10.5258/SOTON/D2007
[Dataset]
Abstract
This dataset supports the publication: GhostShiftAddNet: More Features from Energy-Efficient Operations.' in 'British Machine Vision Conference 2021'.
Spreadsheet
Experimental_datasets.xlsx
- Dataset
More information
Published date: 22 November 2021
Identifiers
Local EPrints ID: 451683
URI: http://eprints.soton.ac.uk/id/eprint/451683
PURE UUID: a6b0bbf9-0366-41de-b6f0-c99f6f768be9
Catalogue record
Date deposited: 19 Oct 2021 17:36
Last modified: 19 Aug 2023 01:38
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Contributors
Creator:
Jia Bi
Contributor:
Jonathon Hare
Contributor:
Geoffrey Merrett
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