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Computer Vision Metrics

Overview of attention for book
Cover of 'Computer Vision Metrics'

Table of Contents

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    Book Overview
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    Chapter 1 Image Capture and Representation
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    Chapter 2 Image Pre-Processing
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    Chapter 3 Global and Regional Features
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    Chapter 4 Local Feature Design Concepts
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    Chapter 5 Taxonomy of Feature Description Attributes
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    Chapter 6 Interest Point Detector and Feature Descriptor Survey
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    Chapter 7 Ground Truth Data, Content, Metrics, and Analysis
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    Chapter 8 Vision Pipelines and Optimizations
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    Chapter 9 Feature Learning Architecture Taxonomy and Neuroscience Background
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    Chapter 10 Feature Learning and Deep Learning Architecture Survey
Attention for Chapter 9: Feature Learning Architecture Taxonomy and Neuroscience Background
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Citations

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