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Deep Learning for Computer Vision

You're reading from   Deep Learning for Computer Vision Expert techniques to train advanced neural networks using TensorFlow and Keras

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788295628
Length 310 pages
Edition 1st Edition
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Author (1):
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Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Author Profile Icon Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started 2. Image Classification FREE CHAPTER 3. Image Retrieval 4. Object Detection 5. Semantic Segmentation 6. Similarity Learning 7. Image Captioning 8. Generative Models 9. Video Classification 10. Deployment 11. Other Books You May Enjoy

Visual dialogue model


The visual dialogue model (VDM) enables chat based on images. VDM applies technologies from computer vision, Natural Language Processing (NLP) and chatbots. It has found major applications such as explaining to blind people about images, to doctors about medical scans, virtual companions and so on. Next, we will see the algorithm to solve this challenge. 

Algorithm for VDM

The algorithm discussed here is proposed by Lu et al (https://research.fb.com/wp-content/uploads/2017/11/camera_ready_nips2017.pdf). Lu et al proposed a GAN-based VDM. The generator generates answers and the discriminator ranks those answers. The following is a schematic representation of the process:

Architecture of the VDMs based on GAN techniques [Reproduced from Lu et al.]

The history of chat, the current question and image are fed as an input to the generator. Next, we will see how the generator works. 

Generator

The generator has an encoder and decoder. The encoder takes an image, question, and history...

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