Visual Attributes Front Cover

Visual Attributes

  • Length: 364 pages
  • Edition: 1st ed. 2017
  • Publisher:
  • Publication Date: 2017-03-22
  • ISBN-10: 3319500759
  • ISBN-13: 9783319500751
  • Sales Rank: #6069477 (See Top 100 Books)
Description

This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: presents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning; describes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications; reviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications; discusses attempts to build a vocabulary of visual attributes; explores the connections between visual attributes and natural language; provides contributions from an international selection of world-renowned scientists, covering both theoretical aspects and practical applications.

Table of Contents

Chapter 1 Introduction To Visual Attributes

Part I Attribute-Based Recognition
Chapter 2 An Embarrassingly Simple Approach To Zero-Shot Learning
Chapter 3 In The Era Of Deep Convolutional Features:​ Are Attributes Still Useful Privileged Data?​
Chapter 4 Divide, Share, And Conquer:​ Multi-Task Attribute Learning With Selective Sharing

Part II Relative Attributes and Their Application to Image Search
Chapter 5 Attributes For Image Retrieval
Chapter 6 Fine-Grained Comparisons With Attributes
Chapter 7 Localizing And Visualizing Relative Attributes

Part III Describing People Based on Attributes
Chapter 8 Deep Learning Face Attributes For Detection And Alignment
Chapter 9 Visual Attributes For Fashion Analytics

Part IV Defining a Vocabulary of Attributes
Chapter 10 A Taxonomy Of Part And Attribute Discovery Techniques
Chapter 11 The Sun Attribute Database:​ Organizing Scenes By Affordances, Materials, And Layout

Part V Attributes and Language
Chapter 12 Attributes As Semantic Units Between Natural Language And Visual Recognition
Chapter 13 Grounding The Meaning Of Words With Visual Attributes

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