↓ Skip to main content

Domain Adaptation in Computer Vision Applications

Overview of attention for book
Cover of 'Domain Adaptation in Computer Vision Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Comprehensive Survey on Domain Adaptation for Visual Applications
  3. Altmetric Badge
    Chapter 2 A Deeper Look at Dataset Bias
  4. Altmetric Badge
    Chapter 3 Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation
  5. Altmetric Badge
    Chapter 4 Unsupervised Domain Adaptation Based on Subspace Alignment
  6. Altmetric Badge
    Chapter 5 Learning Domain Invariant Embeddings by Matching Distributions
  7. Altmetric Badge
    Chapter 6 Adaptive Transductive Transfer Machines: A Pipeline for Unsupervised Domain Adaptation
  8. Altmetric Badge
    Chapter 7 What to Do When the Access to the Source Data Is Constrained?
  9. Altmetric Badge
    Chapter 8 Correlation Alignment for Unsupervised Domain Adaptation
  10. Altmetric Badge
    Chapter 9 Simultaneous Deep Transfer Across Domains and Tasks
  11. Altmetric Badge
    Chapter 10 Domain-Adversarial Training of Neural Networks
  12. Altmetric Badge
    Chapter 11 Unsupervised Fisher Vector Adaptation for Re-identification
  13. Altmetric Badge
    Chapter 12 Semantic Segmentation of Urban Scenes via Domain Adaptation of SYNTHIA
  14. Altmetric Badge
    Chapter 13 From Virtual to Real World Visual Perception Using Domain Adaptation—The DPM as Example
  15. Altmetric Badge
    Chapter 14 Generalizing Semantic Part Detectors Across Domains
  16. Altmetric Badge
    Chapter 15 A Multisource Domain Generalization Approach to Visual Attribute Detection
  17. Altmetric Badge
    Chapter 16 Unifying Multi-domain Multitask Learning: Tensor and Neural Network Perspectives
Attention for Chapter 1: A Comprehensive Survey on Domain Adaptation for Visual Applications
Altmetric Badge

Mentioned by

patent
1 patent

Citations

dimensions_citation
141 Dimensions

Readers on

mendeley
743 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
A Comprehensive Survey on Domain Adaptation for Visual Applications
Chapter number 1
Book title
Domain Adaptation in Computer Vision Applications
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-58347-1_1
Book ISBNs
978-3-31-958346-4, 978-3-31-958347-1
Authors

Gabriela Csurka, Csurka, Gabriela

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 743 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 743 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 189 25%
Student > Master 133 18%
Researcher 82 11%
Student > Bachelor 50 7%
Student > Doctoral Student 35 5%
Other 83 11%
Unknown 171 23%
Readers by discipline Count As %
Computer Science 351 47%
Engineering 121 16%
Mathematics 12 2%
Physics and Astronomy 8 1%
Agricultural and Biological Sciences 6 <1%
Other 42 6%
Unknown 203 27%