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1
IDEnet : Inception-Based Deep Convolutional Neural Network ..:
, In:
2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
,
Cahyawijaya, Samuel
;
Wilie, Bryan
;
Adiprawita, Widyawardana
- p. 548-553 , 2018
Link:
https://doi.org/10.1109/EECSI.2018.8752637
RT T1
2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
: T1
IDEnet : Inception-Based Deep Convolutional Neural Network for Crowd Counting Estimation
UL https://suche.suub.uni-bremen.de/peid=ieee-8752637&Exemplar=1&LAN=DE A1 Cahyawijaya, Samuel A1 Wilie, Bryan A1 Adiprawita, Widyawardana YR 2018 K1 Feature extraction K1 Convolution K1 Task analysis K1 Computational modeling K1 Adaptation models K1 Head K1 Adaptive systems K1 crowd counting K1 inception network K1 convolutional neural network K1 deep learning K1 dense aware K1 scale adaptive SP 548 OP 553 LK http://dx.doi.org/https://doi.org/10.1109/EECSI.2018.8752637 DO https://doi.org/10.1109/EECSI.2018.8752637 SF ELIB - SuUB Bremen
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