Papers with question-answering turn

1 papers
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog (P19-1)

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Challenge: Existing models for visual dialog infer the answer through multiple reasoning steps.
Approach: They propose a model for visual dialog that uses multi-step reasoning to answer questions about an image.
Outcome: The proposed model achieves a new state-of-the-art of 64.47% on the VisDial v1.0 dataset .

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