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1 Ergebnisse
1
Unsupervised Domain Adaptation for Nighttime Aerial Trackin:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Ye, Junjie
;
Fu, Changhong
;
Zheng, Guangze
.. - p. 8886-8895 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.00869
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Unsupervised Domain Adaptation for Nighttime Aerial Tracking</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879981&Exemplar=1&LAN=DE A1 Ye, Junjie A1 Fu, Changhong A1 Zheng, Guangze A1 Paudel, Danda Pani A1 Chen, Guang YR 2022 SN 2575-7075 K1 Training K1 Adaptation models K1 Target tracking K1 Benchmark testing K1 Transformers K1 Feature extraction K1 Robustness K1 Motion and tracking; Datasets and evaluation; Robot vision; Transfer/low-shot/long-tail learning SP 8886 OP 8895 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.00869 DO https://doi.org/10.1109/CVPR52688.2022.00869 SF ELIB - SuUB Bremen
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