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1 Ergebnisse
1
Learning Transferable Spatiotemporal Representations from N..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Zeng, Ziyun
;
Ge, Yuying
;
Liu, Xihui
... - p. 23079-23089 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.02210
RT T1
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge
UL https://suche.suub.uni-bremen.de/peid=ieee-10204285&Exemplar=1&LAN=DE A1 Zeng, Ziyun A1 Ge, Yuying A1 Liu, Xihui A1 Chen, Bin A1 Luo, Ping A1 Xia, Shu-Tao A1 Ge, Yixiao YR 2023 SN 2575-7075 K1 Representation learning K1 Semantics K1 Turning K1 Data models K1 Spatiotemporal phenomena K1 Pattern recognition K1 Noise measurement K1 Video: Action and event understanding SP 23079 OP 23089 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.02210 DO https://doi.org/10.1109/CVPR52729.2023.02210 SF ELIB - SuUB Bremen
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