Share
Contribution to vehicle detection using deep learning
Khaled Bayoudh
(Author)
·
Our Knowledge Publishing
· Paperback
Contribution to vehicle detection using deep learning - Bayoudh, Khaled
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Wednesday, August 14 and
Wednesday, August 21.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
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).
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
