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Guiding Pseudo-labels with Uncertainty Estimation for Sourc..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Litrico, Mattia
;
Del Bue, Alessio
;
Morerio, Pietro
- p. 7640-7650 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.00738
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10204650&Exemplar=1&LAN=DE A1 Litrico, Mattia A1 Del Bue, Alessio A1 Morerio, Pietro YR 2023 SN 2575-7075 K1 Uncertainty K1 Measurement uncertainty K1 Benchmark testing K1 Performance gain K1 Robustness K1 Loss measurement K1 Picture archiving and communication systems K1 Transfer K1 meta K1 low-shot K1 continual K1 or long-tail learning SP 7640 OP 7650 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.00738 DO https://doi.org/10.1109/CVPR52729.2023.00738 SF ELIB - SuUB Bremen
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