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1 Ergebnisse
1
A GNN Based Multi-Attribute Pedestrian Recognition Framewor..:
, In:
2022 International Conference on Futuristic Technologies (INCOFT)
,
Abhilash, Sk
;
Nookala, Venu Madhav
;
Babu, Adithya
- p. 1-8 , 2022
Link:
https://doi.org/10.1109/INCOFT55651.2022.10094338
RT T1 <cTitle>2022 International Conference on Futuristic Technologies (INCOFT)</cTitle>: T1 <Title>A GNN Based Multi-Attribute Pedestrian Recognition Framework for Real World Surveillance Scenarios</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10094338&Exemplar=1&LAN=DE A1 Abhilash, Sk A1 Nookala, Venu Madhav A1 Babu, Adithya YR 2022 K1 Visualization K1 Computer vision K1 Surveillance K1 Computer architecture K1 Feature extraction K1 Graph neural networks K1 Data models K1 Computer Vision (CV) K1 Convolution Neural Networks (CNN) K1 Graphical Neural Networks (GNN) K1 Pedestrian Attribute Recognition (PAR) K1 Multi-Label Categorization SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/INCOFT55651.2022.10094338 DO https://doi.org/10.1109/INCOFT55651.2022.10094338 SF ELIB - SuUB Bremen
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