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1 Ergebnisse
1
GlideNet: Global, Local and Intrinsic based Dense Embedding..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Metwaly, Kareem
;
Kim, Aerin
;
Branson, Elliot
. - p. 4825-4836 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.00479
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879328&Exemplar=1&LAN=DE A1 Metwaly, Kareem A1 Kim, Aerin A1 Branson, Elliot A1 Monga, Vishal YR 2022 SN 2575-7075 K1 Training K1 Computer vision K1 Shape K1 Convolution K1 Taxonomy K1 Computer architecture K1 Predictive models K1 Recognition: detection K1 categorization K1 retrieval; Deep learning architectures and techniques; Efficient learning and inferences; Explainable computer vision; Machine learning; Scene analysis and understanding; Self-& semi-& meta- & unsupervised learning SP 4825 OP 4836 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.00479 DO https://doi.org/10.1109/CVPR52688.2022.00479 SF ELIB - SuUB Bremen
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