Information Bottleneck Domain Adaptation with Privileged Information for Visual Recognition

By Saeid Motiian, Gianfranco Doretto. 2016

24 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Media Technology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Saeid Motiian
2. Gianfranco Doretto
3. Q. Jones
4. Seyed Mehdi Iranmanesh
5. Ioannis A. Kakadiaris
6. Michalis Vrigkas
7. Nikolaos Sarafianos
8. D. Adjeroh

In Media Technology

1. Q. Jones
2. Seyed Mehdi Iranmanesh
3. Gianfranco Doretto
4. Saeid Motiian
5. D. Adjeroh
6. Ioannis A. Kakadiaris
7. Marco Piccirilli
8. Michalis Vrigkas

Citations in the corpus

• Few-Shot Adversarial Domain Adaptation (2017, methodology): “In addition to these methods, [6, 36, 50] have addressed UDA when an auxiliary data view [31, 37], is available during training, but that is beyond the scope of this work.”
• Unified Deep Supervised Domain Adaptation and Generalization (2017, background): “Recently, [7, 42] have addressed UDA when an auxiliary data view [36, 43], is available during training, which is beyond the scope of this work.”
• Information Bottleneck Learning Using Privileged Information for Visual Recognition (2016, background): “You may refer to [2] for more information.”
• Adaptive SVM+: Learning with Privileged Information for Domain Adaptation (2017, background): “[24] and was also extended to unsupervised domain transfer [23].”