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EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers
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School of Electronic Engineering and Computer Science
Electronic Engineering and Computer Science
EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers
QMRO Home
School of Electronic Engineering and Computer Science
Electronic Engineering and Computer Science
EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers
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EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers
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Accepted version (2.421Mb)
Volume
13671
Pagination
294 - 311
ISBN-13
978-3-031-20082-3
DOI
10.1007/978-3-031-20083-0_18
ISSN
0302-9743
Metadata
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Authors
Pan, J; Bulat, A; Tan, F; Zhu, X; Dudziak, L; Li, H; Tzimiropoulos, G; Martinez, B
URI
https://qmro.qmul.ac.uk/xmlui/handle/123456789/82107
Collections
Electronic Engineering and Computer Science
[3133]
Copyright statements
© 2022, The Author(s). Published by European Conference on Computer Vision