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Deep Learning for Object Detection and Localization

Name: Deep Learning for Object Detection and Localization
Brand: Springer-Verlag GmbH
SKU: 9789819548453
Price: 3426 CZK
Availability: InStock

Autor: Sergio Saponara

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag GmbH

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

3 426 Kč

In the ever-evolving field of computer vision, "Deep Learning for Object Detection and Localization"...

Informace o knize

Autor

Sergio Saponara

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2026

Stránek

187

EAN

9789819548453

ISBN

9819548454

Enbook ID

49878450

Vydavatel

Springer-Verlag GmbH

Hmotnost

467

Kompletní popis

In the ever-evolving field of computer vision, "Deep Learning for Object Detection and Localization" serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in deep learning, specifically tailored to enhance object detection and localization tasks. From foundational concepts to cutting-edge techniques, readers will embark on a journey through the intricacies of convolutional neural networks (CNNs), region-based frameworks, and advanced algorithms that power modern object detection systems. The purpose of writing this book is to bridge the knowledge gap in the dynamic field of object detection and localization using deep learning. As technology progresses, there is an increasing demand for robust and efficient systems capable of identifying and pinpointing objects within images and videos. Despite the plethora of resources available, there remains a need for a focused, in-depth guide that comprehensively covers both theoretical aspects and practical implementations. This book aims to fulfill that need by providing a detailed, structured approach to mastering the complexities of object detection and localization.Readers will benefit from the problem-solving focus of this book, which addresses key challenges faced in real-world applications. Whether it's enhancing accuracy in autonomous driving, improving precision in medical imaging, or optimizing performance in surveillance systems, the book offers practical solutions and insights. By exploring state-of-the-art techniques and real-world case studies, "Deep Learning for Object Detection and Localization" equips readers with the knowledge and tools necessary to tackle the pressing challenges in this rapidly advancing field.

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