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Advanced Deep Learning with TensorFlow 2 and Keras

You're reading from   Advanced Deep Learning with TensorFlow 2 and Keras Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781838821654
Length 512 pages
Edition 2nd Edition
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Author (1):
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Rowel Atienza Rowel Atienza
Author Profile Icon Rowel Atienza
Rowel Atienza
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Table of Contents (16) Chapters Close

Preface 1. Introducing Advanced Deep Learning with Keras 2. Deep Neural Networks FREE CHAPTER 3. Autoencoders 4. Generative Adversarial Networks (GANs) 5. Improved GANs 6. Disentangled Representation GANs 7. Cross-Domain GANs 8. Variational Autoencoders (VAEs) 9. Deep Reinforcement Learning 10. Policy Gradient Methods 11. Object Detection 12. Semantic Segmentation 13. Unsupervised Learning Using Mutual Information 14. Other Books You May Enjoy
15. Index

3. Ground truth anchor boxes

From Figure 11.2.3, it appears that given an object bounding box, there are many ground truth anchor boxes that can be assigned to an object. In fact, just for the illustration in Figure 11.2.3, there are already 3 anchor boxes. If all anchor boxes per region are considered, there are 6 x 6 = 36 ground truth boxes just for . Using all 9,648 anchor boxes is obviously excessive. Only one of all anchor boxes should be associated with the ground truth bounding box. All other anchor boxes are background anchor boxes. What is the criterion for choosing which one should be considered the ground truth anchor box for an object in the image?

The basis for choosing the anchor box is called Intersection over Union (IoU). IoU is also known as Jaccard index. IoU is illustrated in Figure 11.3.1. Given 2 regions, an object bounding box, B0 and an anchor box, A1, IoU is equal to the area of overlap divided by the area of the combined regions:

(Equation 11.3.1...
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