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1 Ergebnisse
1
Why Is Prompt Tuning for Vision-Language Models Robust to N..:
, In:
2023 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Wu, Cheng-En
;
Tian, Yu
;
Yu, Haichao
... - p. 15442-15451 , 2023
Link:
https://doi.org/10.1109/ICCV51070.2023.01420
RT T1 <cTitle>2023 IEEE/CVF International Conference on Computer Vision (ICCV)</cTitle>: T1 <Title>Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10377568&Exemplar=1&LAN=DE A1 Wu, Cheng-En A1 Tian, Yu A1 Yu, Haichao A1 Wang, Heng A1 Morgado, Pedro A1 Hu, Yu Hen A1 Yang, Linjie YR 2023 SN 2380-7504 K1 Knowledge engineering K1 Adaptation models K1 Training data K1 Robustness K1 Data models K1 Noise robustness K1 Noise measurement SP 15442 OP 15451 LK http://dx.doi.org/https://doi.org/10.1109/ICCV51070.2023.01420 DO https://doi.org/10.1109/ICCV51070.2023.01420 SF ELIB - SuUB Bremen
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