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Adaptive Smooth L1 Loss: A Better Way to Regress Scene Texts with Extreme Aspect Ratios

Liu, C, Yu, S, Yu, M, Wei, B, Li, B, Li, Gang and Huang, W 2021, Adaptive Smooth L1 Loss: A Better Way to Regress Scene Texts with Extreme Aspect Ratios, in ISCC 2021 : Proceedings of the 2021 IEEE Symposium on Computers and Communications, IEEE, Piscataway, N.J., pp. 1-7, doi: 10.1109/ISCC53001.2021.9631466.

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Title Adaptive Smooth L1 Loss: A Better Way to Regress Scene Texts with Extreme Aspect Ratios
Author(s) Liu, C
Yu, S
Yu, M
Wei, B
Li, B
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Huang, W
Conference name Computers and Communications. Symposium (2021 : Athens, Greece)
Conference location Athens, Greece
Conference dates 2021/09/05 - 2021/09/08
Title of proceedings ISCC 2021 : Proceedings of the 2021 IEEE Symposium on Computers and Communications
Publication date 2021
Start page 1
End page 7
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) CORE2020 B
ISBN 9781665427449
ISSN 1530-1346
2642-7389
Language eng
DOI 10.1109/ISCC53001.2021.9631466
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30162264

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