- Cover image
- Title page
- Table of Contents
- Copyright
- List of Contributors
- Chapter 1: Introduction to Multimodal Scene Understanding
- Chapter 2: Deep Learning for Multimodal Data Fusion
- Chapter 3: Multimodal Semantic Segmentation: Fusion of RGB and Depth Data in Convolutional Neural Networks
- Chapter 4: Learning Convolutional Neural Networks for Object Detection with Very Little Training Data
- Chapter 5: Multimodal Fusion Architectures for Pedestrian Detection
- Chapter 6: Multispectral Person Re-Identification Using GAN for Color-to-Thermal Image Translation
- Chapter 7: A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry
- Chapter 8: Multimodal Localization for Embedded Systems: A Survey
- Chapter 9: Self-Supervised Learning from Web Data for Multimodal Retrieval
- Abstract
- Acknowledgements
- 9.1. Introduction
- 9.2. Related Work
- 9.3. Multimodal Text–Image Embedding
- 9.4. Text Embeddings
- 9.5. Benchmarks
- 9.6. Retrieval on InstaCities1M and WebVision Datasets
- 9.7. Retrieval in the MIRFlickr Dataset
- 9.8. Comparing the Image and Text Embeddings
- 9.9. Visualizing CNN Activation Maps
- 9.10. Visualizing the Learned Semantic Space with t-SNE
- 9.11. Conclusions
- References
- Chapter 10: 3D Urban Scene Reconstruction and Interpretation from Multisensor Imagery
- Chapter 11: Decision Fusion of Remote-Sensing Data for Land Cover Classification
- Chapter 12: Cross-modal Learning by Hallucinating Missing Modalities in RGB-D Vision
- Index
Multimodal Scene Understanding
Algorithms, Applications and Deep Learning
First edition
Michael Ying Yang
Bodo Rosenhahn
Vittorio Murino
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