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1 Ergebnisse
1
Traffic Sign Recognition using Shift In-variant 2-D ConvNet:
, In:
2024 International Conference on Inventive Computation Technologies (ICICT)
,
B, Ramsundar
;
S, Sudharsan
;
Pravin, A.
- p. 135-141 , 2024
Link:
https://doi.org/10.1109/ICICT60155.2024.10544943
RT T1 <cTitle>2024 International Conference on Inventive Computation Technologies (ICICT)</cTitle>: T1 <Title>Traffic Sign Recognition using Shift In-variant 2-D ConvNet</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10544943&Exemplar=1&LAN=DE A1 B, Ramsundar A1 S, Sudharsan A1 Pravin, A. YR 2024 SN 2767-7788 K1 Training K1 Measurement K1 Adaptation models K1 Computational modeling K1 Supervised learning K1 Transportation K1 Computer architecture K1 Traffic sign recognition K1 Convolutional neural network K1 Shift-invariant operation K1 Variant 2-D CNN K1 Hierarchical architecture K1 Benchmark datasets K1 Intelligent transportation systems SP 135 OP 141 LK http://dx.doi.org/https://doi.org/10.1109/ICICT60155.2024.10544943 DO https://doi.org/10.1109/ICICT60155.2024.10544943 SF ELIB - SuUB Bremen
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