Name: Contribution to vehicle detection using deep learning
SKU: 58235477
Price: 1526.00 TWD
Availability: InStock
Author: Bayoudh, Khaled
ISBN: 9786204152776

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portada Contribution to vehicle detection using deep learning

Contribution to vehicle detection using deep learning

Type

Physical Book

Author

Khaled Bayoudh

Publisher

Our Knowledge Publishing

Language

English

Pages

Format

Paperback

Dimensions

22.9x15.2x0.4 cm

Weight

0.11 kg.

ISBN13

9786204152776

Synopsis "Contribution to vehicle detection using deep learning"

Deep learning is taking place, especially with the rapid growth and availability of large databases and the recent improvements in Graphics Processing Units (GPUs). The main objective of this research is to apply deep learning algorithms, such as Convolutional Neural Networks (CNNs) and deep architectures, in particular the VGG-16 deep model, for the categorization and localization of vehicles in road scenes. In this dissertation, we will show that through optimized parameterization and simple algorithmic modification, we can improve, even relatively, the robustness of a particular Faster R-CNN type network in vehicle detection and achieve better results based on various databases (PASCAL VOC 2007, PASCAL VOC 2012, MIT Traffic, CUHK Square and Logiroad).

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Contribution to vehicle detection using deep learning - Bayoudh, Khaled

Synopsis "Contribution to vehicle detection using deep learning"

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