Domain Adaptation in Computer Vision Applications

목차 (Table of Contents)

• 자료제공 :
• 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, and Tinne Tuytelaars
• Part I: Shallow Domain Adaptation Methods
• 3. Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation
• Boqing Gong, Kristen Grauman, and Fei Sha
• 4. Unsupervised Domain Adaptation based on Subspace Alignment
• Basura Fernando, Rahaf Aljundi, Remi Emonet, Amaury Harbard, Marc Sebban, and Tinne Tuytelaars
• 5. Learning Domain Invariant Embeddings by Matching Distributions
• Mahsa Baktashmotlagh, Mehrtash Harandi, and Mathieu Salzmann
• 6. Adaptive Transductive Transfer Machines: A Pipeline for Unsupervised Domain Adaptation
• Nazli Farajidavar, Teofilo de Campos, and Josef Kittler
• 7. What To Do When the Access to the Source Data is Constrained?
• Gabriela Csurka, Boris Chidlovskii, and Stephane Clinchant
• Part II: Deep Domain Adaptation Methods
• 8. Correlation Alignment for Unsupervised Domain Adaptation
• Baochen Sun, Jiashi Feng, and Kate Saenko
• 9. Simultaneous Deep Transfer Across Domains and Tasks
• Judy Hoffman, Eric Tzeng, Trevor Darrell, and Kate Saenko
• 10. Domain-Adversarial Training of Neural Networks
• Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, Francois Laviolette, Mario Marchand, and Victor Lempitsky
• Part III: Beyond Image Classification
• 11. Unsupervised Fisher Vector Adaptation for Re-Identification
• Usman Tariq, Jose A. Rodriguez-Serrano, and 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 Cedeno, Francisco Perez, Didier Ramirez, Eduardo Escobar, Jose Luis Gomez, David Vazquez, and Antonio M. Lopez
• 13. From Virtual to Real World Visual Perception using Domain Adaptation - The DPM as Example
• Antonio M. Lopez, Jiaolong Xu, Jose L. Gomez, David Vazquez, and German Ros
• 14. Generalizing Semantic Part Detectors Across Domains
• David Novotny, Diane Larlus, and Andrea Vedaldi
• Part IV: Beyond Domain Adaptation: Unifying Perspectives
• 15. A Multi-Source Domain Generalization Approach to Visual Attribute Detection
• Chuang Gan, Tianbao Yang, and Boqing Gong
• 16. Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives
• Yongxin Yang and Timothy M. Hospedales