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1 Ergebnisse
1
Enhancing Adversarial Robustness for Deep Metric Learning t..:
, In:
2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
,
Li, Chaofei
;
Zhu, Ziyuan
;
Niu, Ruicheng
.. - p. 29-34 , 2023
Link:
https://doi.org/10.1109/CSCWD57460.2023.10152723
RT T1 <cTitle>2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)</cTitle>: T1 <Title>Enhancing Adversarial Robustness for Deep Metric Learning through Adaptive Adversarial Strategy</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10152723&Exemplar=1&LAN=DE A1 Li, Chaofei A1 Zhu, Ziyuan A1 Niu, Ruicheng A1 Leng, Tao A1 Meng, Dan YR 2023 SN 2768-1904 K1 Measurement K1 Training K1 Adaptation models K1 Adaptive systems K1 Limiting K1 Federated learning K1 Benchmark testing K1 deep metric learning K1 actor-critic K1 adversarial training SP 29 OP 34 LK http://dx.doi.org/https://doi.org/10.1109/CSCWD57460.2023.10152723 DO https://doi.org/10.1109/CSCWD57460.2023.10152723 SF ELIB - SuUB Bremen
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