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1 Ergebnisse
1
VS-Net: Multiscale Spatiotemporal Features for Lightweight ..:
, In:
2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI)
,
Singh, Hemraj
;
Verma, Mridula
;
Cheruku, Ramalingaswamy
- p. 1307-1311 , 2022
Link:
https://doi.org/10.1109/ICTAI56018.2022.00198
RT T1
2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI)
: T1
VS-Net: Multiscale Spatiotemporal Features for Lightweight Video Salient Document Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10097924&Exemplar=1&LAN=DE A1 Singh, Hemraj A1 Verma, Mridula A1 Cheruku, Ramalingaswamy YR 2022 SN 2375-0197 K1 Computer vision K1 Convolution K1 Benchmark testing K1 Feature extraction K1 Time measurement K1 Robustness K1 Spatiotemporal phenomena K1 Separable convolution K1 Approximation Rank Pooling K1 Variational Autoencoder K1 Multi-scale features SP 1307 OP 1311 LK http://dx.doi.org/https://doi.org/10.1109/ICTAI56018.2022.00198 DO https://doi.org/10.1109/ICTAI56018.2022.00198 SF ELIB - SuUB Bremen
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