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1 Ergebnisse
1
Cerberus Transformer: Joint Semantic, Affordance and Attrib..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Chen, Xiaoxue
;
Liu, Tianyu
;
Zhao, Hao
.. - p. 19617-19626 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.01903
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879672&Exemplar=1&LAN=DE A1 Chen, Xiaoxue A1 Liu, Tianyu A1 Zhao, Hao A1 Zhou, Guyue A1 Zhang, Ya-Qin YR 2022 SN 2575-7075 K1 Training K1 Annotations K1 Affordances K1 Semantics K1 Computer architecture K1 Multitasking K1 Transformers K1 Scene analysis and understanding; Deep learning architectures and techniques; Self-& semi-& meta- & unsupervised learning SP 19617 OP 19626 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.01903 DO https://doi.org/10.1109/CVPR52688.2022.01903 SF ELIB - SuUB Bremen
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