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1 Ergebnisse
1
Learning Rotation-Equivariant Features for Visual Correspon..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Lee, Jongmin
;
Kim, Byungjin
;
Kim, Seungwook
. - p. 21887-21897 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.02096
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Learning Rotation-Equivariant Features for Visual Correspondence</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10203468&Exemplar=1&LAN=DE A1 Lee, Jongmin A1 Kim, Byungjin A1 Kim, Seungwook A1 Cho, Minsu YR 2023 SN 2575-7075 K1 Visualization K1 Computer vision K1 Pose estimation K1 Self-supervised learning K1 Feature extraction K1 Cameras K1 Data augmentation K1 Low-level vision SP 21887 OP 21897 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.02096 DO https://doi.org/10.1109/CVPR52729.2023.02096 SF ELIB - SuUB Bremen
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