A Unified Framework for Multimodal Domain Adaptation-Reference-Cited by-同舟云学术

A Unified Framework for Multimodal Domain Adaptation

Published:2018-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM international conference on Multimedia
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Author:

Qi Fan¹,Yang Xiaoshan²,Xu Changsheng³

Affiliation:

1. Hefei University of Technology, HeFei, China

2. Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

3. Hefei University of Technology, Chinese Academy of Sciences, & University of Chinese Academy of Sciences, Beijing, China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Research Program of Frontier Sciences, CAS

the project of National Laboratory of Pattern Recognition (Institute of Automation, Chinese Academy of Sciences)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3240508.3240633

Reference58 articles.

1. VQA: Visual Question Answering

2. Yusuf Aytar Carl Vondrick and Antonio Torralba. 2016. SoundNet: Learning Sound Representations from Unlabeled Video. In NIPS. Yusuf Aytar Carl Vondrick and Antonio Torralba. 2016. SoundNet: Learning Sound Representations from Unlabeled Video. In NIPS.

3. Tadas Baltrusaitis Chaitanya Ahuja and Louis-Philippe Morency. 2017. Multimodal Machine Learning: A Survey and Taxonomy. CoRR (2017). Tadas Baltrusaitis Chaitanya Ahuja and Louis-Philippe Morency. 2017. Multimodal Machine Learning: A Survey and Taxonomy. CoRR (2017).

4. Shai Ben-David John Blitzer Koby Crammer and Fernando Pereira. 2006. Analysis of Representations for Domain Adaptation. In NIPS. 137--144. Shai Ben-David John Blitzer Koby Crammer and Fernando Pereira. 2006. Analysis of Representations for Domain Adaptation. In NIPS. 137--144.

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