Papers by José M. F. Moura

1 papers
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog (N19-1)

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Challenge: Visual Dialog is a multimodal task of answering a sequence of questions grounded in an image.
Approach: They construct a dialog grammar that is grounded in the scene graphs of the images from the CLEVR dataset and use it to benchmark performance of standard visual dialog models.
Outcome: The proposed model is based on a large diagnostic dataset for studying multi-round reasoning in visual dialog.

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