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1 Ergebnisse
1
Decouple and Align Sparse R-CNN for End-to-End Object Detec..:
, In:
2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
,
Yao, Xin-Wei
;
Zhang, Yu-Chen
;
Zhi, Yu-Yi
.. - p. 1328-1333 , 2024
Link:
https://doi.org/10.1109/CSCWD61410.2024.10580236
RT T1 <cTitle>2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)</cTitle>: T1 <Title>Decouple and Align Sparse R-CNN for End-to-End Object Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10580236&Exemplar=1&LAN=DE A1 Yao, Xin-Wei A1 Zhang, Yu-Chen A1 Zhi, Yu-Yi A1 Zhang, Kai-Jie A1 Yuan, Zhi-Heng YR 2024 SN 2768-1904 K1 Location awareness K1 Limiting K1 Federated learning K1 Object detection K1 Phase frequency detectors K1 Games K1 Feature extraction K1 Discrepancy K1 Feature decoupling K1 Prediction alignment SP 1328 OP 1333 LK http://dx.doi.org/https://doi.org/10.1109/CSCWD61410.2024.10580236 DO https://doi.org/10.1109/CSCWD61410.2024.10580236 SF ELIB - SuUB Bremen
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