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DVQA: Differential Attention for Visual Question Answering

-- [Project Page]

-- [Paper: CVPR-2018 ]

Motivation

  • We adopt an exemplar based approach to improve visual question answering (VQA) methods by providing a differential attention.
  • We evaluate two variants for obtaining differential attention - one where we only obtain attention and the other where we obtain differential context in addition to attention.
  • We show that this method correlates better with human attention and results in an improved visual question answering that improves the state-of-the-art for image based attention methods. It is also competitive with respect to other proposed methods for this problem.

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