Advancement of Deep Learning and its Applications in Object Detection and Recognition - Image 1

£105.00

Taylor & Francis Advancement of Deep Learning and its Applications in Object Detection and Recognition

Name: Advancement of Deep Learning and its Applications in Object Detection and Recognition
Brand: Taylor & Francis
Price: 105.0 GBP
Availability: InStock

Architecture & Microprocessors

This is the most expensive it has ever been. Walk away.

£105 today · previous high £105 · all-time low £105

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 75 days · 75 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 75 days • 1 price levels

Days at Price

Price Analysis

Most common price: £105 (75 days, 100.0%)

Price range: £105 - £105

Price levels: 1 different prices over 75 days

Description

Object detection is a basic visual identification problem in computer vision that has been explored extensively over the years. Visual object detection seeks to discover objects of specific target classes in a given image with pinpoint accuracy and apply a class label to each object instance. Object recognition strategies based on deep learning have been intensively investigated in recent years as a result of the remarkable success of deep learning-based image categorization. In this book, we go through in detail detector architectures, feature learning, proposal generation, sampling strategies, and other issues that affect detection performance. The book describes every newly proposed novel solution but skips through the fundamentals so that readers can see the field's cutting edge more rapidly. Moreover, unlike prior object detection publications, this project analyses deep learning-based object identification methods systematically and exhaustively, and also gives the most recent detection solutions and a collection of noteworthy research trends. The book focuses primarily on step-by-step discussion, an extensive literature review, detailed analysis and discussion, and rigorous experimentation results. Furthermore, a practical approach is displayed and encouraged.

Product Specifications

Brand: Taylor & Francis
Format: hardcover
ASIN: 8770227020
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 10 May 2023
Listed Since: 03 December 2022

Barcode

No barcode data available

Taylor & Francis Advancement of Deep Learning and its Applications in Object Detection and Recognition

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Deep Learning Models: A Practical Approach for Hands-On Professionals (Transactions on Computer Systems and Networks)

Computer Vision: Object Detection In Adversarial Vision - CRC

Object Detection and Recognition in Digital Images: Theory and Practice

Object Detection by Stereo Vision Images

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities (Advances in Computational Intelligence and Robotics)

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities

Object Recognition: Fundamentals and Case Studies (Advances in Computer Vision and Pattern Recognition)

Infrared Small Target Detection: Theory, Methods, and Algorithms.

Advanced Methods and Deep Learning in Computer Vision (Computer Vision and Pattern Recognition)

Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

Practical Deep Learning for Computer Vision with Python

Visual Object Tracking using Deep Learning

Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models

An Introduction to Image Classification: From Designed Models to End-to-End Learning

Computer Vision: Principles, Algorithms, Applications, Learning

Computer Vision: Algorithms and Applications (Texts in Computer Science)

Computer Vision – ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I: 9913 (Lecture Notes in Computer Science, 9913)

Computer Vision: Algorithms and Applications (Texts in Computer Science)

Springer Integrating Graphics and Vision for Object Recognition

Visual Inference for IoT Systems: A Practical Approach

Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC), Volume 1: 943 (Advances in Intelligent Systems and Computing, 943)

Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection: 124 (Intelligent Systems Reference Library, 124)

Topics in Medical Image Processing and Computational Vision: 8 (Lecture Notes in Computational Vision and Biomechanics, 8)