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1 Ergebnisse
1
MetaCNN: A New Hybrid Deep Learning Image-based Approach fo..:
, In:
2022 5th International Conference on Computer Science and Software Engineering (CSSE 2022)
,
Chen, Juntian
;
Luo, Ruikang
- p. 517-521 , 2022
Link:
https://dl.acm.org/doi/10.1145/3569966.3570099
RT T1 <cTitle>2022 5th International Conference on Computer Science and Software Engineering (CSSE 2022)</cTitle>: T1 <Title>MetaCNN: A New Hybrid Deep Learning Image-based Approach for Vehicle Classification Using Transformer-like Framework</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3570099&Exemplar=1&LAN=DE A1 Chen, Juntian A1 Luo, Ruikang PB ACM YR 2022 K1 Keywords-Electric vehicle K1 deep learning K1 forecasting K1 graph neural network K1 spatio-temporal K1 Computing methodologies K1 Artificial intelligence K1 Machine learning K1 Computer vision K1 Learning paradigms K1 Machine learning approaches K1 Computer vision problems K1 Supervised learning K1 Neural networks K1 Supervised learning by classification SP 517 OP 521 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3569966.3570099 DO https://dl.acm.org/doi/10.1145/3569966.3570099 SF ELIB - SuUB Bremen
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