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1 Ergebnisse
1
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augme..:
, In:
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Muller, Samuel G.
;
Hutter, Frank
- p. 754-762 , 2021
Link:
https://doi.org/10.1109/ICCV48922.2021.00081
RT T1 <cTitle>2021 IEEE/CVF International Conference on Computer Vision (ICCV)</cTitle>: T1 <Title>TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9711158&Exemplar=1&LAN=DE A1 Muller, Samuel G. A1 Hutter, Frank YR 2021 SN 2380-7504 K1 Computer vision K1 Costs K1 Codes K1 Reproducibility of results K1 Proposals K1 Task analysis K1 Best practices K1 Recognition and classification; Datasets and evaluation SP 754 OP 762 LK http://dx.doi.org/https://doi.org/10.1109/ICCV48922.2021.00081 DO https://doi.org/10.1109/ICCV48922.2021.00081 SF ELIB - SuUB Bremen
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