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1 Ergebnisse
1
Boosting Accuracy and Robustness of Student Models via Adap..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Huang, Bo
;
Chen, Mingyang
;
Wang, Yi
... - p. 24668-24677 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.02363
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10203187&Exemplar=1&LAN=DE A1 Huang, Bo A1 Chen, Mingyang A1 Wang, Yi A1 Lu, Junda A1 Cheng, Minhao A1 Wang, Wei YR 2023 SN 2575-7075 K1 Training K1 Performance evaluation K1 Adaptation models K1 Upper bound K1 Computational modeling K1 Predictive models K1 Robustness K1 Adversarial attack and defense SP 24668 OP 24677 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.02363 DO https://doi.org/10.1109/CVPR52729.2023.02363 SF ELIB - SuUB Bremen
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