Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering-Reference-Cited by-同舟云学术

Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering

Author:

Chen Long¹^ORCID,Zheng Yuhang²^ORCID,Niu Yulei³^ORCID,Zhang Hanwang⁴^ORCID,Xiao Jun²

Affiliation:

1. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR

2. College of Computer Science, Zhejiang University, Hangzhou, China

3. Department of Electrical Engineering, Columbia University, New York, NY, USA

4. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference63 articles.

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5. Overcoming language priors in visual question answering with adversarial regularization;ramakrishnan;Proc Conf Neural Inf Process Syst,2018

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