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1 Ergebnisse
1
Practical Stereo Matching via Cascaded Recurrent Network wi..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Li, Jiankun
;
Wang, Peisen
;
Xiong, Pengfei
... - p. 16242-16251 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.01578
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879545&Exemplar=1&LAN=DE A1 Li, Jiankun A1 Wang, Peisen A1 Xiong, Pengfei A1 Cai, Tao A1 Yan, Ziwei A1 Yang, Lei A1 Liu, Jiangyu A1 Fan, Haoqiang A1 Liu, Shuaicheng YR 2022 SN 2575-7075 K1 Correlation K1 Adaptive systems K1 Training data K1 Benchmark testing K1 Network architecture K1 Real-time systems K1 Pattern recognition K1 3D from multi-view and sensors; Computational photography; Deep learning architectures and techniques; Low-level vision SP 16242 OP 16251 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.01578 DO https://doi.org/10.1109/CVPR52688.2022.01578 SF ELIB - SuUB Bremen
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