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Csurka, Gabriela

Domain Adaptation in Computer Vision Applications

Csurka, Gabriela - Domain Adaptation in Computer Vision Applications, ebook

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ISBN: 9783319583471
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Table of contents

1. A Comprehensive Survey on Domain Adaptation for Visual Applications
Gabriela Csurka

2. A Deeper Look at Dataset Bias
Tatiana Tommasi, Novi Patricia, Barbara Caputo, Tinne Tuytelaars

Part I. Shallow Domain Adaptation Methods

3. Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation
Boqing Gong, Kristen Grauman, Fei Sha

4. Unsupervised Domain Adaptation Based on Subspace Alignment
Basura Fernando, Rahaf Aljundi, Rémi Emonet, Amaury Habrard, Marc Sebban, Tinne Tuytelaars

5. Learning Domain Invariant Embeddings by Matching Distributions
Mahsa Baktashmotlagh, Mehrtash Harandi, Mathieu Salzmann

6. Adaptive Transductive Transfer Machines: A Pipeline for Unsupervised Domain Adaptation
Nazli Farajidavar, Teofilo Campos, Josef Kittler

7. What to Do When the Access to the Source Data Is Constrained?
Gabriela Csurka, Boris Chidlovskii, Stéphane Clinchant

Part II. Deep Domain Adaptation Methods

8. Correlation Alignment for Unsupervised Domain Adaptation
Baochen Sun, Jiashi Feng, Kate Saenko

9. Simultaneous Deep Transfer Across Domains and Tasks
Judy Hoffman, Eric Tzeng, Trevor Darrell, Kate Saenko

10. Domain-Adversarial Training of Neural Networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor Lempitsky

Part III. Beyond Image Classification

11. Unsupervised Fisher Vector Adaptation for Re-identification
Usman Tariq, Jose A. Rodriguez-Serrano, Florent Perronnin

12. Semantic Segmentation of Urban Scenes via Domain Adaptation of SYNTHIA
German Ros, Laura Sellart, Gabriel Villalonga, Elias Maidanik, Francisco Molero, Marc Garcia, Adriana Cedeño, Francisco Perez, Didier Ramirez, Eduardo Escobar, Jose Luis Gomez, David Vazquez, Antonio M. Lopez

13. From Virtual to Real World Visual Perception Using Domain Adaptation—The DPM as Example
Antonio M. López, Jiaolong Xu, José L. Gómez, David Vázquez, Germán Ros

14. Generalizing Semantic Part Detectors Across Domains
David Novotny, Diane Larlus, Andrea Vedaldi

Part IV. Beyond Domain Adaptation: Unifying Perspectives

15. A Multisource Domain Generalization Approach to Visual Attribute Detection
Chuang Gan, Tianbao Yang, Boqing Gong

16. Unifying Multi-domain Multitask Learning: Tensor and Neural Network Perspectives
Yongxin Yang, Timothy M. Hospedales

Keywords: Computer Science, Image Processing and Computer Vision, Artificial Intelligence (incl. Robotics), Computer Appl. in Administrative Data Processing

Editor
Publisher
Springer
Publication year
2017
Language
en
Edition
1
Series
Advances in Computer Vision and Pattern Recognition
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9783319583471
Printed ISBN
978-3-319-58346-4

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