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1 Ergebnisse
1
Point Cloud Pre-training with Natural 3D Structures:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Yamada, Ryosuke
;
Kataoka, Hirokatsu
;
Chiba, Naoya
.. - p. 21251-21261 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.02060
RT T1
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
Point Cloud Pre-training with Natural 3D Structures
UL https://suche.suub.uni-bremen.de/peid=ieee-9878798&Exemplar=1&LAN=DE A1 Yamada, Ryosuke A1 Kataoka, Hirokatsu A1 Chiba, Naoya A1 Domae, Yukiyasu A1 Ogata, Tetsuya YR 2022 SN 2575-7075 K1 Point cloud compression K1 Geometry K1 Training K1 Three-dimensional displays K1 Annotations K1 Supervised learning K1 Training data K1 Datasets and evaluation; Representation learning; Self-& semi-& meta- Transfer/low-shot/long-tail learning SP 21251 OP 21261 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.02060 DO https://doi.org/10.1109/CVPR52688.2022.02060 SF ELIB - SuUB Bremen
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