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Visual Attributes

Gebonden Engels 2017 9783319500751
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783319500751
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

Lezersrecensies

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Inhoudsopgave

<p>Introduction to Visual Attributes<br> Rogerio Feris, Christoph Lampert, and Devi Parikh</p>

<p>Part I: Attribute-Based Recognition</p>

<p>An Embarrassingly Simple Approach to Zero-Shot Learning<br> Bernardino Romera-Paredes and Philip H. S. Torr</p>

<p>In the Era of Deep Convolutional Features: Are Attributes still Useful Privileged Data?<br> Viktoriia Sharmanska and Novi Quadrianto</p>

<p>Divide, Share, and Conquer: Multi-Task Attribute Learning with Selective Sharing<br> Chao-Yeh Chen, Dinesh Jayaraman, Fei Sha, and Kristen Grauman</p>

<p>Part II: Relative Attributes and their Application to Image Search</p>

<p>Attributes for Image Retrieval<br> Adriana Kovashka and Kristen Grauman</p>

Fine-Grained Comparisons with Attributes<br> Aron Yu and Kristen Grauman</p>

<p>Localizing and Visualizing Relative Attributes<br> Fanyi Xiao and Yong Jae Lee</p>

<p>Part III: Describing People Based on Attributes</p>

Deep Learning Face Attributes for Detection and Alignment<br> Chen Change Loy, Ping Luo, and Chen Huang</p>

<p>Visual Attributes for Fashion Analytics<br> Si Liu, Lisa Brown, Qiang Chen, Junshi Huang, Luoqi Liu, and Shuicheng Yan</p>

<p>Part IV: Defining a Vocabulary of Attributes</p>

<p>A Taxonomy of Part and Attribute Discovery Techniques<br> Subhransu Maji</p>

<p>The SUN Attribute Database: Organizing Scenes by Affordances, Materials, and Layout<br> Genevieve Patterson and James Hays</p>

<p>Part V: Attributes and Language</p>

<p>Attributes as Semantic Units Between Natural Language and Visual Recognition<br> Marcus Rohrbach</p>

<p>Grounding the Meaning of Words with Visual Attributes<br> Carina Silberer</p>

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